Prosecution Insights
Last updated: April 19, 2026
Application No. 18/118,061

CONDITIONING GRAPH NEURAL NETWORKS ON GRAPH AFFINITY MEASURE FEATURES

Non-Final OA §101
Filed
Mar 06, 2023
Examiner
STARKS, WILBERT L
Art Unit
2122
Tech Center
2100 — Computer Architecture & Software
Assignee
Google LLC
OA Round
1 (Non-Final)
76%
Grant Probability
Favorable
1-2
OA Rounds
3y 6m
To Grant
80%
With Interview

Examiner Intelligence

Grants 76% — above average
76%
Career Allow Rate
493 granted / 653 resolved
+20.5% vs TC avg
Minimal +4% lift
Without
With
+4.4%
Interview Lift
resolved cases with interview
Typical timeline
3y 6m
Avg Prosecution
47 currently pending
Career history
700
Total Applications
across all art units

Statute-Specific Performance

§101
40.3%
+0.3% vs TC avg
§103
13.1%
-26.9% vs TC avg
§102
35.7%
-4.3% vs TC avg
§112
6.0%
-34.0% vs TC avg
Black line = Tech Center average estimate • Based on career data from 653 resolved cases

Office Action

§101
DETAILED ACTION Claims 1–20 have been examined. Notice of Pre-AIA or AIA Status The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA . Claim Rejections - 35 U.S.C. § 101 35 U.S.C. § 101 reads as follows: Whoever invents or discovers any new and useful process, machine, manufacture, or composition of matter, or any new and useful improvement thereof, may obtain a patent therefor, subject to the conditions and requirements of this title. The invention, as taught in Claims 1-20, is directed to “mental steps” and “mathematical steps” without significantly more. The claims recite: an input graph (i.e., mathematical steps) a set of nodes (i.e., mathematical steps) a set of edges that each connect a respective pair of nodes (i.e., mathematical steps) node features for each of the nodes (i.e., mathematical steps) edge features for each of the edges (i.e., mathematical steps) weight for each of the edges (i.e., mathematical steps) affinity features (i.e., mathematical steps) generating one or more affinity features (i.e., mathematical steps) a property of one or more random walks through the graph guided by the respective weights for the edges (i.e., mathematical steps) conditioned on the one or more affinity features (i.e., mathematical steps) generate a task prediction for a machine learning task for the input graph (i.e., mental steps) processing graph data…conditioned on the one or more affinity features (i.e., mental process or mathematical concept) Claim 1 Step 1 inquiry: Does this claim fall within a statutory category? The preamble of the claim recites “1. A method performed by one or more computers, the method comprising…” Therefore, it is a “method” (or “process”), which is a statutory category of invention. Therefore, the answer to the inquiry is: “YES.” Step 2A (Prong One) inquiry: Are there limitations in Claim 1 that recite abstract ideas? YES. The following limitations in Claim 1 recite abstract ideas that fall within at least one of the groupings of abstract ideas enumerated in the 2019 PEG. Specifically, they are “mental steps” and “mathematical steps”: an input graph (i.e., mathematical steps) a set of nodes (i.e., mathematical steps) a set of edges that each connect a respective pair of nodes (i.e., mathematical steps) node features for each of the nodes (i.e., mathematical steps) edge features for each of the edges (i.e., mathematical steps) weight for each of the edges (i.e., mathematical steps) affinity features (i.e., mathematical steps) generating one or more affinity features (i.e., mathematical steps) a property of one or more random walks through the graph guided by the respective weights for the edges (i.e., mathematical steps) conditioned on the one or more affinity features (i.e., mathematical steps) generate a task prediction for a machine learning task for the input graph (i.e., mental steps) processing graph data…conditioned on the one or more affinity features (i.e., mental process or mathematical concept) Step 2A (Prong Two) inquiry: Are there additional elements or a combination of elements in the claim that apply, rely on, or use the judicial exception in a manner that imposes a meaningful limit on the judicial exception, such that it is more than a drafting effort designed to monopolize the exception? Applicant’s claims contain the following “additional elements”: (1) An “obtaining” of “graph data” (2) A “graph neural network” (3) A “machine learning task” An “obtaining” of “graph data” is a broad term which is described at a high level. M.P.E.P. § 2106.05 (f)(2) recites in part: (2) Whether the claim invokes computers or other machinery merely as a tool to perform an existing process. Use of a computer or other machinery in its ordinary capacity for economic or other tasks (e.g., to receive, store, or transmit data) or simply adding a general purpose computer or computer components after the fact to an abstract idea (e.g., a fundamental economic practice or mathematical equation) does not integrate a judicial exception into a practical application or provide significantly more. See Affinity Labs v. DirecTV, 838 F.3d 1253, 1262, 120 USPQ2d 1201, 1207 (Fed. Cir. 2016) (cellular telephone); TLI Communications LLC v. AV Auto, LLC, 823 F.3d 607, 613, 118 USPQ2d 1744, 1748 (Fed. Cir. 2016) (computer server and telephone unit). Similarly, “claiming the improved speed or efficiency inherent with applying the abstract idea on a computer” does not integrate a judicial exception into a practical application or provide an inventive concept. Intellectual Ventures I LLC v. Capital One Bank (USA), 792 F.3d 1363, 1367, 115 USPQ2d 1636, 1639 (Fed. Cir. 2015). In contrast, a claim that purports to improve computer capabilities or to improve an existing technology may integrate a judicial exception into a practical application or provide significantly more. McRO, Inc. v. Bandai Namco Games Am. Inc., 837 F.3d 1299, 1314-15, 120 USPQ2d 1091, 1101-02 (Fed. Cir. 2016); Enfish, LLC v. Microsoft Corp., 822 F.3d 1327, 1335-36, 118 USPQ2d 1684, 1688-89 (Fed. Cir. 2016). See MPEP §§ 2106.04(d)(1) and 2106.05(a) for a discussion of improvements to the functioning of a computer or to another technology or technical field. TLI Communications provides an example of a claim invoking computers and other machinery merely as a tool to perform an existing process. The court stated that the claims describe steps of recording, administration and archiving of digital images, and found them to be directed to the abstract idea of classifying and storing digital images in an organized manner. 823 F.3d at 612, 118 USPQ2d at 1747. The court then turned to the additional elements of performing these functions using a telephone unit and a server and noted that these elements were being used in their ordinary capacity (i.e., the telephone unit is used to make calls and operate as a digital camera including compressing images and transmitting those images, and the server simply receives data, extracts classification information from the received data, and stores the digital images based on the extracted information). 823 F.3d at 612-13, 118 USPQ2d at 1747-48. In other words, the claims invoked the telephone unit and server merely as tools to execute the abstract idea. Thus, the court found that the additional elements did not add significantly more to the abstract idea because they were simply applying the abstract idea on a telephone network without any recitation of details of how to carry out the abstract idea. This “obtaining” of “graph data” limitation does not integrate the additional element into a practical application and represents “insignificant extra-solution activity”. (See, M.P.E.P. § 2106.05(I)(A)). A “graph neural network” is a broad term which is described at a high level. M.P.E.P. § 2016.05(f) recites: 2106.05(f) Mere Instructions To Apply An Exception [R-10.2019] Another consideration when determining whether a claim integrates a judicial exception into a practical application in Step 2A Prong Two or recites significantly more than a judicial exception in Step 2B is whether the additional elements amount to more than a recitation of the words “apply it” (or an equivalent) or are more than mere instructions to implement an abstract idea or other exception on a computer. As explained by the Supreme Court, in order to make a claim directed to a judicial exception patent-eligible, the additional element or combination of elements must do “‘more than simply stat[e] the [judicial exception] while adding the words ‘apply it’”. Alice Corp. v. CLS Bank, 573 U.S. 208, 221, 110 USPQ2d 1976, 1982-83 (2014) (quoting Mayo Collaborative Servs. V. Prometheus Labs., Inc., 566 U.S. 66, 72, 101 USPQ2d 1961, 1965). Thus, for example, claims that amount to nothing more than an instruction to apply the abstract idea using a generic computer do not render an abstract idea eligible. Alice Corp., 573 U.S. at 223, 110 USPQ2d at 1983. See also 573 U.S. at 224, 110 USPQ2d at 1984 (warning against a § 101 analysis that turns on “the draftsman’s art”). A “machine learning task” is a broad term which is described at a high level. M.P.E.P. § 2106.05(h) recites: 2106.05(h) Field of Use and Technological Environment [R-10.2019] Another consideration when determining whether a claim integrates the judicial exception into a practical application in Step 2A Prong Two or recites significantly more than a judicial exception in Step 2B is whether the additional elements amount to more than generally linking the use of a judicial exception to a particular technological environment or field of use. As explained by the Supreme Court, a claim directed to a judicial exception cannot be made eligible “simply by having the applicant acquiesce to limiting the reach of the patent for the formula to a particular technological use.” Diamond v. Diehr, 450 U.S. 175, 192 n.14, 209 USPQ 1, 10 n. 14 (1981). Thus, limitations that amount to merely indicating a field of use or technological environment in which to apply a judicial exception do not amount to significantly more than the exception itself, and cannot integrate a judicial exception into a practical application. The courts often cite to Parker v. Flook as providing a classic example of a field of use limitation. See, e.g., Bilski v. Kappos, 561 U.S. 593, 612, 95 USPQ2d 1001, 1010 (2010) (“Flook established that limiting an abstract idea to one field of use or adding token postsolution components did not make the concept patentable”) (citing Parker v. Flook, 437 U.S. 584, 198 USPQ 193 (1978)). In Flook, the claim recited steps of calculating an updated value for an alarm limit (a numerical limit on a process variable such as temperature, pressure or flow rate) according to a mathematical formula “in a process comprising the catalytic chemical conversion of hydrocarbons.” 437 U.S. at 586, 198 USPQ at 196. Processes for the catalytic chemical conversion of hydrocarbons were used in the petrochemical and oil-refining fields. Id. Although the applicant argued that limiting the use of the formula to the petrochemical and oil-refining fields should make the claim eligible because this limitation ensured that the claim did not preempt all uses of the formula, the Supreme Court disagreed. 437 U.S. at 588-90, 198 USPQ at 197-98. Instead, the additional element in Flook regarding the catalytic chemical conversion of hydrocarbons was not sufficient to make the claim eligible, because it was merely an incidental or token addition to the claim that did not alter or affect how the process steps of calculating the alarm limit value were performed. Further, the Supreme Court found that this limitation did not amount to an inventive concept. 437 U.S. at 588-90, 198 USPQ at 197-98. The Court reasoned that to hold otherwise would “exalt[] form over substance”, because a competent claim drafter could attach a similar type of limitation to almost any mathematical formula. 437 U.S. at 590, 198 USPQ at 197. In contrast, the additional elements in Diamond v. Diehr as a whole provided eligibility and did not merely recite calculating a cure time using the Arrhenius equation “in a rubber molding process”. Instead, the claim in Diehr recited specific limitations such as monitoring the elapsed time since the mold was closed, constantly measuring the temperature in the mold cavity, repetitively calculating a cure time by inputting the measured temperature into the Arrhenius equation, and opening the press automatically when the calculated cure time and the elapsed time are equivalent. 450 U.S. at 179, 209 USPQ at 5, n. 5. These specific limitations act in concert to transform raw, uncured rubber into cured molded rubber. 450 U.S. at 177-78, 209 USPQ at 4. This “machine learning task” limitation does not integrate the additional element into a practical application and represents “insignificant extra-solution activity”. (See, M.P.E.P. § 2106.05(I)(A)). The answer to the inquiry is “NO”, no additional elements integrate the claimed abstract idea into a practical application. Step 2B inquiry: Does the claim provide an inventive concept, i.e., does the claim recite additional element(s) or a combination of elements that amount to significantly more than the judicial exception in the claim? Applicant’s claims contain the following “additional elements”: (1) An “obtaining” of “graph data” (2) A “graph neural network” (3) A “machine learning task” An “obtaining” of “graph data” is a broad term which is described at a high level. Applicant's Specification, paragraph [0051] recites: [0051] The system obtains graph data representing an input graph (step 202). As described above, the input graph includes a set of nodes and a set of edges that each connect a respective pair of nodes and the graph data includes respective node features for each of the nodes, edge features for each of the edges, and a respective weight for each of the edges. Optionally, the graph data can also include graph-level features that represent the entire graph. Each set of features, i.e., the graph-level features, the node features for a given node, and the edge features for a given edge, is generally represented as a vector of numerical values. Further, Applicant's Specification, paragraph [0086] recites: [0086] The processes and logic flows described in this specification can be performed by one or more programmable computers executing one or more computer programs to perform functions by operating on input data and generating output. The processes and logic flows can also be performed by special purpose logic circuitry, e.g., an FPGA or an ASIC, or by a combination of special purpose logic circuitry and one or more programmed computers. Therefore, the claim as a whole does not amount to significantly more than the exception itself (i.e., there is no inventive concept in the claim). (See, M.P.E.P. § 2106.05(II)). A “graph neural network” is a broad term which is described at a high level. Applicant’s Specification recites: [0046] The graph neural network 110 can have any appropriate graph neural network (GNN) architecture that allows the graph neural network 110 to map the graph data 102 to a task prediction 112. Therefore, the claim as a whole does not amount to significantly more than the exception itself (i.e., there is no inventive concept in the claim). (See, M.P.E.P. § 2106.05(II)). A “machine learning task” is a broad term which is described at a high level. M.P.E.P. § 2106.05(h) recites: 2106.05(h) Field of Use and Technological Environment [R-10.2019] Another consideration when determining whether a claim integrates the judicial exception into a practical application in Step 2A Prong Two or recites significantly more than a judicial exception in Step 2B is whether the additional elements amount to more than generally linking the use of a judicial exception to a particular technological environment or field of use. As explained by the Supreme Court, a claim directed to a judicial exception cannot be made eligible “simply by having the applicant acquiesce to limiting the reach of the patent for the formula to a particular technological use.” Diamond v. Diehr, 450 U.S. 175, 192 n.14, 209 USPQ 1, 10 n. 14 (1981). Thus, limitations that amount to merely indicating a field of use or technological environment in which to apply a judicial exception do not amount to significantly more than the exception itself, and cannot integrate a judicial exception into a practical application. The courts often cite to Parker v. Flook as providing a classic example of a field of use limitation. See, e.g., Bilski v. Kappos, 561 U.S. 593, 612, 95 USPQ2d 1001, 1010 (2010) (“Flook established that limiting an abstract idea to one field of use or adding token postsolution components did not make the concept patentable”) (citing Parker v. Flook, 437 U.S. 584, 198 USPQ 193 (1978)). In Flook, the claim recited steps of calculating an updated value for an alarm limit (a numerical limit on a process variable such as temperature, pressure or flow rate) according to a mathematical formula “in a process comprising the catalytic chemical conversion of hydrocarbons.” 437 U.S. at 586, 198 USPQ at 196. Processes for the catalytic chemical conversion of hydrocarbons were used in the petrochemical and oil-refining fields. Id. Although the applicant argued that limiting the use of the formula to the petrochemical and oil-refining fields should make the claim eligible because this limitation ensured that the claim did not preempt all uses of the formula, the Supreme Court disagreed. 437 U.S. at 588-90, 198 USPQ at 197-98. Instead, the additional element in Flook regarding the catalytic chemical conversion of hydrocarbons was not sufficient to make the claim eligible, because it was merely an incidental or token addition to the claim that did not alter or affect how the process steps of calculating the alarm limit value were performed. Further, the Supreme Court found that this limitation did not amount to an inventive concept. 437 U.S. at 588-90, 198 USPQ at 197-98. The Court reasoned that to hold otherwise would “exalt[] form over substance”, because a competent claim drafter could attach a similar type of limitation to almost any mathematical formula. 437 U.S. at 590, 198 USPQ at 197. In contrast, the additional elements in Diamond v. Diehr as a whole provided eligibility and did not merely recite calculating a cure time using the Arrhenius equation “in a rubber molding process”. Instead, the claim in Diehr recited specific limitations such as monitoring the elapsed time since the mold was closed, constantly measuring the temperature in the mold cavity, repetitively calculating a cure time by inputting the measured temperature into the Arrhenius equation, and opening the press automatically when the calculated cure time and the elapsed time are equivalent. 450 U.S. at 179, 209 USPQ at 5, n. 5. These specific limitations act in concert to transform raw, uncured rubber into cured molded rubber. 450 U.S. at 177-78, 209 USPQ at 4. Therefore, the claim as a whole does not amount to significantly more than the exception itself (i.e., there is no inventive concept in the claim). (See, M.P.E.P. § 2106.05(II)). Therefore, the answer to the inquiry is “NO”, no additional elements provide an inventive concept that is significantly more than the claimed abstract ideas the claimed abstract idea into a practical application. Claim 1 is, therefore, NOT ELIGIBLE subject matter under 35 U.S.C. § 101. Claim 2 Claim 2 recites: 2. The method of claim 1, wherein the one or more features comprise a respective hitting time feature for each of one or more of the edges in the graph that represents an expected number of steps for a random walk starting at a first node in the respective pair connected by the edge to hit a second node in the respective pair connected by the edge. Applicant’s Claim 2 merely teaches a mathematical “hitting time feature”. It does not integrate the abstract idea to a practical application, nor is it anything significantly more than the abstract idea. (See, 2106.05(a)(II).) Claim 2 is, therefore, NOT ELIGIBLE subject matter under 35 U.S.C. § 101. Claim 3 Claim 3 recites: 3. The method of claim 2, further comprising: computing the respective hitting time feature for each of the one or more edges, comprising: computing a respective resistive embedding for each node in the graph; computing a weighted sum of the respective resistive embeddings, wherein each resistive embedding is weighted by a probability assigned to the corresponding node in a stationary distribution of random walks through the graph; for each of the one or more edges: computing an inner product between (i) a difference between the resistive embedding for the second node in the respective pair connected by the edge and the resistive embedding for the first node in the respective pair connected by the edge and (ii) a difference between the resistive embedding for the second node in the respective pair connected by the edge and the weighted sum of the respective resistive embeddings; and determining the respective hitting time feature for the edge from the inner product. Applicant’s Claim 3 merely teaches mathematically calculating specified parameters. It does not integrate the abstract idea to a practical application, nor is it anything significantly more than the abstract idea. (See, 2106.05(a)(II).) Claim 3 is, therefore, NOT ELIGIBLE subject matter under 35 U.S.C. § 101. Claim 4 Claim 4 recites: 4. The method of claim 1, wherein the one or more features comprise a respective commute time feature for each of one or more of the edges in the graph that represents an expected number of steps for a random walk starting at a first node in the respective pair connected by the edge to reach a second node in the respective pair connected by the edge and then return to the first node in the respective pair connected by the edge. Applicant’s Claim 4 merely teaches a mathematical commute time feature. It does not integrate the abstract idea to a practical application, nor is it anything significantly more than the abstract idea. (See, 2106.05(a)(II).) Claim 4 is, therefore, NOT ELIGIBLE subject matter under 35 U.S.C. § 101. Claim 5 Claim 5 recites: 5. The method of claim 4, further computing the respective commute time feature for each of the one or more edges, comprising for each of the one or more edges: computing a first hitting time feature for the edge that represents an expected number of steps for a random walk starting at the first node in the respective pair connected by the edge to hit the second node in the respective pair connected by the edge; computing a second hitting time feature for the edge that represents an expected number of steps for a random walk starting at the second node in the respective pair connected by the edge to hit the first node in the respective pair connected by the edge; and computing the respective commute time feature for the edge from the first and second hitting time features. Applicant’s Claim 5 merely teaches mathematical computation of parameters. It does not integrate the abstract idea to a practical application, nor is it anything significantly more than the abstract idea. (See, 2106.05(a)(II).) Claim 5 is, therefore, NOT ELIGIBLE subject matter under 35 U.S.C. § 101. Claim 6 Claim 6 recites: 6. The method of claim 1, wherein the one or more affinity features comprise an effective resistance feature for each of one or more of the edges in the graph that represents an effective resistance between a first node in the respective pair connected by the edge and a second node in the respective pair connected by the edge in a circuit that corresponds to the graph and in which each edge is a resistor with resistance equal to a reciprocal of the respective weight for the edge. Applicant’s Claim 6 merely teaches mathematical features. It does not integrate the abstract idea to a practical application, nor is it anything significantly more than the abstract idea. (See, 2106.05(a)(II).) Claim 6 is, therefore, NOT ELIGIBLE subject matter under 35 U.S.C. § 101. Claim 7 Claim 7 recites: 7. The method of claim 6, further computing the respective effective resistance feature for each of the one or more edges, comprising for each of the one or more edges: computing a respective commute time feature for the edge; and dividing the respective commute time by the product of a constant and a sum of the respective weights for the edges in the graph. Applicant’s Claim 7 merely teaches mathematical computations. It does not integrate the abstract idea to a practical application, nor is it anything significantly more than the abstract idea. (See, 2106.05(a)(II).) Claim 7 is, therefore, NOT ELIGIBLE subject matter under 35 U.S.C. § 101. Claim 8 Claim 8 recites: 8. The method of claim 1, wherein the one or more affinity features comprise a resistive embedding for each of one or more of the nodes in the graph. Applicant’s Claim 8 merely teaches a mathematical resistive embedding. It does not integrate the abstract idea to a practical application, nor is it anything significantly more than the abstract idea. (See, 2106.05(a)(II).) Claim 8 is, therefore, NOT ELIGIBLE subject matter under 35 U.S.C. § 101. Claim 9 Claim 9 recites: 9. The method of claim 8, wherein a distance between the respective resistive embeddings of any pair of nodes in the graph is an estimate of an effective resistance between the pair of nodes in a circuit that corresponds to the graph and in which each edge is a resistor with resistance equal to a reciprocal of the respective weight for the edge. Applicant’s Claim 9 merely teaches a mathematical “distance”. It does not integrate the abstract idea to a practical application, nor is it anything significantly more than the abstract idea. (See, 2106.05(a)(II).) Claim 9 is, therefore, NOT ELIGIBLE subject matter under 35 U.S.C. § 101. Claim 10 Claim 10 recites: 10. The method of claim 8, further comprising computing the respective resistive embeddings for each of the plurality of nodes in the graph, comprising: determining the respective resistive embedding for each of the plurality of nodes from an edge-node incidence matrix for the graph and a pseudo-inverse of a graph Laplacian matrix for the graph. Applicant’s Claim 10 merely teaches calculation of a mathematical “resistive embedding”. It does not integrate the abstract idea to a practical application, nor is it anything significantly more than the abstract idea. (See, 2106.05(a)(II).) Claim 10 is, therefore, NOT ELIGIBLE subject matter under 35 U.S.C. § 101. Claim 11 Claim 11 recites: 11. The method of claim 10, wherein determining the respective resistive embedding for each of the plurality of nodes comprises determining a matrix product between (i) a dimensionality reducing matrix with randomly chosen values, (ii) the edge-node incidence matrix for the graph and (iii) the pseudo-inverse of the graph Laplacian matrix for the graph. Applicant’s Claim 11 merely teaches calculation of a matrix product. It does not integrate the abstract idea to a practical application, nor is it anything significantly more than the abstract idea. (See, 2106.05(a)(II).) Claim 11 is, therefore, NOT ELIGIBLE subject matter under 35 U.S.C. § 101. Claim 12 Claim 12 recites: 12. The method of claim 1, wherein processing the graph data using a graph neural network that is conditioned on the one or more affinity features to generate a task prediction for a machine learning task for the input graph comprises: generating modified graph data by modifying the node features, the edge features, or both using the one or more affinity features; and processing the modified graph data using the graph neural network to generate the task prediction. Applicant’s Claim 12 merely teaches generating mathematical data and using a generic graph neural network. It does not integrate the abstract idea to a practical application, nor is it anything significantly more than the abstract idea. (See, 2106.05(a)(II).) Claim 12 is, therefore, NOT ELIGIBLE subject matter under 35 U.S.C. § 101. Claim 13 Claim 13 recites: 13. The method of claim 1, wherein the graph data further comprises graph-level features of the input graph. Applicant’s Claim 13 merely teaches mathematical parameters. It does not integrate the abstract idea to a practical application, nor is it anything significantly more than the abstract idea. (See, 2106.05(a)(II).) Claim 13 is, therefore, NOT ELIGIBLE subject matter under 35 U.S.C. § 101. Claim 14 Step 1 inquiry: Does this claim fall within a statutory category? The preamble of the claim recites “14. One or more non-transitory computer storage media storing instructions that when executed by one or more computers cause the one or more computers to perform operations comprising…” Therefore, it is a “non-transitory computer storage media” (or “product of manufacture”), which is a statutory category of invention. Therefore, the answer to the inquiry is: “YES.” Step 2A (Prong One) inquiry: Are there limitations in Claim 14 that recite abstract ideas? YES. The following limitations in Claim 14 recite abstract ideas that fall within at least one of the groupings of abstract ideas enumerated in the 2019 PEG. Specifically, they are “mental steps” and “mathematical steps”: an input graph (i.e., mathematical steps) a set of nodes (i.e., mathematical steps) a set of edges that each connect a respective pair of nodes (i.e., mathematical steps) node features for each of the nodes (i.e., mathematical steps) edge features for each of the edges (i.e., mathematical steps) weight for each of the edges (i.e., mathematical steps) affinity features (i.e., mathematical steps) generating one or more affinity features (i.e., mathematical steps) a property of one or more random walks through the graph guided by the respective weights for the edges (i.e., mathematical steps) conditioned on the one or more affinity features (i.e., mathematical steps) generate a task prediction for a machine learning task for the input graph (i.e., mental steps) processing graph data…conditioned on the one or more affinity features (i.e., mental process or mathematical concept) Step 2A (Prong Two) inquiry: Are there additional elements or a combination of elements in the claim that apply, rely on, or use the judicial exception in a manner that imposes a meaningful limit on the judicial exception, such that it is more than a drafting effort designed to monopolize the exception? Applicant’s claims contain the following “additional elements”: (1) An “obtaining” of “graph data” (2) A “graph neural network” (3) A “machine learning task” An “obtaining” of “graph data” is a broad term which is described at a high level. M.P.E.P. § 2106.05 (f)(2) recites in part: (2) Whether the claim invokes computers or other machinery merely as a tool to perform an existing process. Use of a computer or other machinery in its ordinary capacity for economic or other tasks (e.g., to receive, store, or transmit data) or simply adding a general purpose computer or computer components after the fact to an abstract idea (e.g., a fundamental economic practice or mathematical equation) does not integrate a judicial exception into a practical application or provide significantly more. See Affinity Labs v. DirecTV, 838 F.3d 1253, 1262, 120 USPQ2d 1201, 1207 (Fed. Cir. 2016) (cellular telephone); TLI Communications LLC v. AV Auto, LLC, 823 F.3d 607, 613, 118 USPQ2d 1744, 1748 (Fed. Cir. 2016) (computer server and telephone unit). Similarly, “claiming the improved speed or efficiency inherent with applying the abstract idea on a computer” does not integrate a judicial exception into a practical application or provide an inventive concept. Intellectual Ventures I LLC v. Capital One Bank (USA), 792 F.3d 1363, 1367, 115 USPQ2d 1636, 1639 (Fed. Cir. 2015). In contrast, a claim that purports to improve computer capabilities or to improve an existing technology may integrate a judicial exception into a practical application or provide significantly more. McRO, Inc. v. Bandai Namco Games Am. Inc., 837 F.3d 1299, 1314-15, 120 USPQ2d 1091, 1101-02 (Fed. Cir. 2016); Enfish, LLC v. Microsoft Corp., 822 F.3d 1327, 1335-36, 118 USPQ2d 1684, 1688-89 (Fed. Cir. 2016). See MPEP §§ 2106.04(d)(1) and 2106.05(a) for a discussion of improvements to the functioning of a computer or to another technology or technical field. TLI Communications provides an example of a claim invoking computers and other machinery merely as a tool to perform an existing process. The court stated that the claims describe steps of recording, administration and archiving of digital images, and found them to be directed to the abstract idea of classifying and storing digital images in an organized manner. 823 F.3d at 612, 118 USPQ2d at 1747. The court then turned to the additional elements of performing these functions using a telephone unit and a server and noted that these elements were being used in their ordinary capacity (i.e., the telephone unit is used to make calls and operate as a digital camera including compressing images and transmitting those images, and the server simply receives data, extracts classification information from the received data, and stores the digital images based on the extracted information). 823 F.3d at 612-13, 118 USPQ2d at 1747-48. In other words, the claims invoked the telephone unit and server merely as tools to execute the abstract idea. Thus, the court found that the additional elements did not add significantly more to the abstract idea because they were simply applying the abstract idea on a telephone network without any recitation of details of how to carry out the abstract idea. This “obtaining” of “graph data” limitation does not integrate the additional element into a practical application and represents “insignificant extra-solution activity”. (See, M.P.E.P. § 2106.05(I)(A)). A “graph neural network” is a broad term which is described at a high level. M.P.E.P. § 2016.05(f) recites: 2106.05(f) Mere Instructions To Apply An Exception [R-10.2019] Another consideration when determining whether a claim integrates a judicial exception into a practical application in Step 2A Prong Two or recites significantly more than a judicial exception in Step 2B is whether the additional elements amount to more than a recitation of the words “apply it” (or an equivalent) or are more than mere instructions to implement an abstract idea or other exception on a computer. As explained by the Supreme Court, in order to make a claim directed to a judicial exception patent-eligible, the additional element or combination of elements must do “‘more than simply stat[e] the [judicial exception] while adding the words ‘apply it’”. Alice Corp. v. CLS Bank, 573 U.S. 208, 221, 110 USPQ2d 1976, 1982-83 (2014) (quoting Mayo Collaborative Servs. V. Prometheus Labs., Inc., 566 U.S. 66, 72, 101 USPQ2d 1961, 1965). Thus, for example, claims that amount to nothing more than an instruction to apply the abstract idea using a generic computer do not render an abstract idea eligible. Alice Corp., 573 U.S. at 223, 110 USPQ2d at 1983. See also 573 U.S. at 224, 110 USPQ2d at 1984 (warning against a § 101 analysis that turns on “the draftsman’s art”). A “machine learning task” is a broad term which is described at a high level. M.P.E.P. § 2106.05(h) recites: 2106.05(h) Field of Use and Technological Environment [R-10.2019] Another consideration when determining whether a claim integrates the judicial exception into a practical application in Step 2A Prong Two or recites significantly more than a judicial exception in Step 2B is whether the additional elements amount to more than generally linking the use of a judicial exception to a particular technological environment or field of use. As explained by the Supreme Court, a claim directed to a judicial exception cannot be made eligible “simply by having the applicant acquiesce to limiting the reach of the patent for the formula to a particular technological use.” Diamond v. Diehr, 450 U.S. 175, 192 n.14, 209 USPQ 1, 10 n. 14 (1981). Thus, limitations that amount to merely indicating a field of use or technological environment in which to apply a judicial exception do not amount to significantly more than the exception itself, and cannot integrate a judicial exception into a practical application. The courts often cite to Parker v. Flook as providing a classic example of a field of use limitation. See, e.g., Bilski v. Kappos, 561 U.S. 593, 612, 95 USPQ2d 1001, 1010 (2010) (“Flook established that limiting an abstract idea to one field of use or adding token postsolution components did not make the concept patentable”) (citing Parker v. Flook, 437 U.S. 584, 198 USPQ 193 (1978)). In Flook, the claim recited steps of calculating an updated value for an alarm limit (a numerical limit on a process variable such as temperature, pressure or flow rate) according to a mathematical formula “in a process comprising the catalytic chemical conversion of hydrocarbons.” 437 U.S. at 586, 198 USPQ at 196. Processes for the catalytic chemical conversion of hydrocarbons were used in the petrochemical and oil-refining fields. Id. Although the applicant argued that limiting the use of the formula to the petrochemical and oil-refining fields should make the claim eligible because this limitation ensured that the claim did not preempt all uses of the formula, the Supreme Court disagreed. 437 U.S. at 588-90, 198 USPQ at 197-98. Instead, the additional element in Flook regarding the catalytic chemical conversion of hydrocarbons was not sufficient to make the claim eligible, because it was merely an incidental or token addition to the claim that did not alter or affect how the process steps of calculating the alarm limit value were performed. Further, the Supreme Court found that this limitation did not amount to an inventive concept. 437 U.S. at 588-90, 198 USPQ at 197-98. The Court reasoned that to hold otherwise would “exalt[] form over substance”, because a competent claim drafter could attach a similar type of limitation to almost any mathematical formula. 437 U.S. at 590, 198 USPQ at 197. In contrast, the additional elements in Diamond v. Diehr as a whole provided eligibility and did not merely recite calculating a cure time using the Arrhenius equation “in a rubber molding process”. Instead, the claim in Diehr recited specific limitations such as monitoring the elapsed time since the mold was closed, constantly measuring the temperature in the mold cavity, repetitively calculating a cure time by inputting the measured temperature into the Arrhenius equation, and opening the press automatically when the calculated cure time and the elapsed time are equivalent. 450 U.S. at 179, 209 USPQ at 5, n. 5. These specific limitations act in concert to transform raw, uncured rubber into cured molded rubber. 450 U.S. at 177-78, 209 USPQ at 4. This “machine learning task” limitation does not integrate the additional element into a practical application and represents “insignificant extra-solution activity”. (See, M.P.E.P. § 2106.05(I)(A)). The answer to the inquiry is “NO”, no additional elements integrate the claimed abstract idea into a practical application. Step 2B inquiry: Does the claim provide an inventive concept, i.e., does the claim recite additional element(s) or a combination of elements that amount to significantly more than the judicial exception in the claim? Applicant’s claims contain the following “additional elements”: (1) An “obtaining” of “graph data” (2) A “graph neural network” (3) A “machine learning task” An “obtaining” of “graph data” is a broad term which is described at a high level. Applicant's Specification, paragraph [0051] recites: [0051] The system obtains graph data representing an input graph (step 202). As described above, the input graph includes a set of nodes and a set of edges that each connect a respective pair of nodes and the graph data includes respective node features for each of the nodes, edge features for each of the edges, and a respective weight for each of the edges. Optionally, the graph data can also include graph-level features that represent the entire graph. Each set of features, i.e., the graph-level features, the node features for a given node, and the edge features for a given edge, is generally represented as a vector of numerical values. Further, Applicant's Specification, paragraph [0086] recites: [0086] The processes and logic flows described in this specification can be performed by one or more programmable computers executing one or more computer programs to perform functions by operating on input data and generating output. The processes and logic flows can also be performed by special purpose logic circuitry, e.g., an FPGA or an ASIC, or by a combination of special purpose logic circuitry and one or more programmed computers. Therefore, the claim as a whole does not amount to significantly more than the exception itself (i.e., there is no inventive concept in the claim). (See, M.P.E.P. § 2106.05(II)). A “graph neural network” is a broad term which is described at a high level. Applicant’s Specification recites: [0046] The graph neural network 110 can have any appropriate graph neural network (GNN) architecture that allows the graph neural network 110 to map the graph data 102 to a task prediction 112. Therefore, the claim as a whole does not amount to significantly more than the exception itself (i.e., there is no inventive concept in the claim). (See, M.P.E.P. § 2106.05(II)). A “machine learning task” is a broad term which is described at a high level. M.P.E.P. § 2106.05(h) recites: 2106.05(h) Field of Use and Technological Environment [R-10.2019] Another consideration when determining whether a claim integrates the judicial exception into a practical application in Step 2A Prong Two or recites significantly more than a judicial exception in Step 2B is whether the additional elements amount to more than generally linking the use of a judicial exception to a particular technological environment or field of use. As explained by the Supreme Court, a claim directed to a judicial exception cannot be made eligible “simply by having the applicant acquiesce to limiting the reach of the patent for the formula to a particular technological use.” Diamond v. Diehr, 450 U.S. 175, 192 n.14, 209 USPQ 1, 10 n. 14 (1981). Thus, limitations that amount to merely indicating a field of use or technological environment in which to apply a judicial exception do not amount to significantly more than the exception itself, and cannot integrate a judicial exception into a practical application. The courts often cite to Parker v. Flook as providing a classic example of a field of use limitation. See, e.g., Bilski v. Kappos, 561 U.S. 593, 612, 95 USPQ2d 1001, 1010 (2010) (“Flook established that limiting an abstract idea to one field of use or adding token postsolution components did not make the concept patentable”) (citing Parker v. Flook, 437 U.S. 584, 198 USPQ 193 (1978)). In Flook, the claim recited steps of calculating an updated value for an alarm limit (a numerical limit on a process variable such as temperature, pressure or flow rate) according to a mathematical formula “in a process comprising the catalytic chemical conversion of hydrocarbons.” 437 U.S. at 586, 198 USPQ at 196. Processes for the catalytic chemical conversion of hydrocarbons were used in the petrochemical and oil-refining fields. Id. Although the applicant argued that limiting the use of the formula to the petrochemical and oil-refining fields should make the claim eligible because this limitation ensured that the claim did not preempt all uses of the formula, the Supreme Court disagreed. 437 U.S. at 588-90, 198 USPQ at 197-98. Instead, the additional element in Flook regarding the catalytic chemical conversion of hydrocarbons was not sufficient to make the claim eligible, because it was merely an incidental or token addition to the claim that did not alter or affect how the process steps of calculating the alarm limit value were performed. Further, the Supreme Court found that this limitation did not amount to an inventive concept. 437 U.S. at 588-90, 198 USPQ at 197-98. The Court reasoned that to hold otherwise would “exalt[] form over substance”, because a competent claim drafter could attach a similar type of limitation to almost any mathematical formula. 437 U.S. at 590, 198 USPQ at 197. In contrast, the additional elements in Diamond v. Diehr as a whole provided eligibility and did not merely recite calculating a cure time using the Arrhenius equation “in a rubber molding process”. Instead, the claim in Diehr recited specific limitations such as monitoring the elapsed time since the mold was closed, constantly measuring the temperature in the mold cavity, repetitively calculating a cure time by inputting the measured temperature into the Arrhenius equation, and opening the press automatically when the calculated cure time and the elapsed time are equivalent. 450 U.S. at 179, 209 USPQ at 5, n. 5. These specific limitations act in concert to transform raw, uncured rubber into cured molded rubber. 450 U.S. at 177-78, 209 USPQ at 4. Therefore, the claim as a whole does not amount to significantly more than the exception itself (i.e., there is no inventive concept in the claim). (See, M.P.E.P. § 2106.05(II)). Therefore, the answer to the inquiry is “NO”, no additional elements provide an inventive concept that is significantly more than the claimed abstract ideas the claimed abstract idea into a practical application. Claim 14 is, therefore, NOT ELIGIBLE subject matter under 35 U.S.C. § 101. Claim 15 Step 1 inquiry: Does this claim fall within a statutory category? The preamble of the claim recites “15. A system comprising…” Therefore, it is a “system” (or “apparatus”), which is a statutory category of invention. Therefore, the answer to the inquiry is: “YES.” Step 2A (Prong One) inquiry: Are there limitations in Claim 15 that recite abstract ideas? YES. The following limitations in Claim 15 recite abstract ideas that fall within at least one of the groupings of abstract ideas enumerated in the 2019 PEG. Specifically, they are “mental steps” and “mathematical steps”: an input graph (i.e., mathematical steps) a set of nodes (i.e., mathematical steps) a set of edges that each connect a respective pair of nodes (i.e., mathematical steps) node features for each of the nodes (i.e., mathematical steps) edge features for each of the edges (i.e., mathematical steps) weight for each of the edges (i.e., mathematical steps) affinity features (i.e., mathematical steps) generating one or more affinity features (i.e., mathematical steps) a property of one or more random walks through the graph guided by the respective weights for the edges (i.e., mathematical steps) conditioned on the one or more affinity features (i.e., mathematical steps) generate a task prediction for a machine learning task for the input graph (i.e., mental steps) processing graph data…conditioned on the one or more affinity features (i.e., mental process or mathematical concept) Step 2A (Prong Two) inquiry: Are there additional elements or a combination of elements in the claim that apply, rely on, or use the judicial exception in a manner that imposes a meaningful limit on the judicial exception, such that it is more than a drafting effort designed to monopolize the exception? Applicant’s claims contain the following “additional elements”: (1) An “obtaining” of “graph data” (2) A “graph neural network” (3) A “machine learning task” An “obtaining” of “graph data” is a broad term which is described at a high level. M.P.E.P. § 2106.05 (f)(2) recites in part: (2) Whether the claim invokes computers or other machinery merely as a tool to perform an existing process. Use of a computer or other machinery in its ordinary capacity for economic or other tasks (e.g., to receive, store, or transmit data) or simply adding a general purpose computer or computer components after the fact to an abstract idea (e.g., a fundamental economic practice or mathematical equation) does not integrate a judicial exception into a practical application or provide significantly more. See Affinity Labs v. DirecTV, 838 F.3d 1253, 1262, 120 USPQ2d 1201, 1207 (Fed. Cir. 2016) (cellular telephone); TLI Communications LLC v. AV Auto, LLC, 823 F.3d 607, 613, 118 USPQ2d 1744, 1748 (Fed. Cir. 2016) (computer server and telephone unit). Similarly, “claiming the improved speed or efficiency inherent with applying the abstract idea on a computer” does not integrate a judicial exception into a practical application or provide an inventive concept. Intellectual Ventures I LLC v. Capital One Bank (USA), 792 F.3d 1363, 1367, 115 USPQ2d 1636, 1639 (Fed. Cir. 2015). In contrast, a claim that purports to improve computer capabilities or to improve an existing technology may integrate a judicial exception into a practical application or provide significantly more. McRO, Inc. v. Bandai Namco Games Am. Inc., 837 F.3d 1299, 1314-15, 120 USPQ2d 1091, 1101-02 (Fed. Cir. 2016); Enfish, LLC v. Microsoft Corp., 822 F.3d 1327, 1335-36, 118 USPQ2d 1684, 1688-89 (Fed. Cir. 2016). See MPEP §§ 2106.04(d)(1) and 2106.05(a) for a discussion of improvements to the functioning of a computer or to another technology or technical field. TLI Communications provides an example of a claim invoking computers and other machinery merely as a tool to perform an existing process. The court stated that the claims describe steps of recording, administration and archiving of digital images, and found them to be directed to the abstract idea of classifying and storing digital images in an organized manner. 823 F.3d at 612, 118 USPQ2d at 1747. The court then turned to the additional elements of performing these functions using a telephone unit and a server and noted that these elements were being used in their ordinary capacity (i.e., the telephone unit is used to make calls and operate as a digital camera including compressing images and transmitting those images, and the server simply receives data, extracts classification information from the received data, and stores the digital images based on the extracted information). 823 F.3d at 612-13, 118 USPQ2d at 1747-48. In other words, the claims invoked the telephone unit and server merely as tools to execute the abstract idea. Thus, the court found that the additional elements did not add significantly more to the abstract idea because they were simply applying the abstract idea on a telephone network without any recitation of details of how to carry out the abstract idea. This “obtaining” of “graph data” limitation does not integrate the additional element into a practical application and represents “insignificant extra-solution activity”. (See, M.P.E.P. § 2106.05(I)(A)). A “graph neural network” is a broad term which is described at a high level. M.P.E.P. § 2016.05(f) recites: 2106.05(f) Mere Instructions To Apply An Exception [R-10.2019] Another consideration when determining whether a claim integrates a judicial exception into a practical application in Step 2A Prong Two or recites significantly more than a judicial exception in Step 2B is whether the additional elements amount to more than a recitation of the words “apply it” (or an equivalent) or are more than mere instructions to implement an abstract idea or other exception on a computer. As explained by the Supreme Court, in order to make a claim directed to a judicial exception patent-eligible, the additional element or combination of elements must do “‘more than simply stat[e] the [judicial exception] while adding the words ‘apply it’”. Alice Corp. v. CLS Bank, 573 U.S. 208, 221, 110 USPQ2d 1976, 1982-83 (2014) (quoting Mayo Collaborative Servs. V. Prometheus Labs., Inc., 566 U.S. 66, 72, 101 USPQ2d 1961, 1965). Thus, for example, claims that amount to nothing more than an instruction to apply the abstract idea using a generic computer do not render an abstract idea eligible. Alice Corp., 573 U.S. at 223, 110 USPQ2d at 1983. See also 573 U.S. at 224, 110 USPQ2d at 1984 (warning against a § 101 analysis that turns on “the draftsman’s art”). A “machine learning task” is a broad term which is described at a high level. M.P.E.P. § 2106.05(h) recites: 2106.05(h) Field of Use and Technological Environment [R-10.2019] Another consideration when determining whether a claim integrates the judicial exception into a practical application in Step 2A Prong Two or recites significantly more than a judicial exception in Step 2B is whether the additional elements amount to more than generally linking the use of a judicial exception to a particular technological environment or field of use. As explained by the Supreme Court, a claim directed to a judicial exception cannot be made eligible “simply by having the applicant acquiesce to limiting the reach of the patent for the formula to a particular technological use.” Diamond v. Diehr, 450 U.S. 175, 192 n.14, 209 USPQ 1, 10 n. 14 (1981). Thus, limitations that amount to merely indicating a field of use or technological environment in which to apply a judicial exception do not amount to significantly more than the exception itself, and cannot integrate a judicial exception into a practical application. The courts often cite to Parker v. Flook as providing a classic example of a field of use limitation. See, e.g., Bilski v. Kappos, 561 U.S. 593, 612, 95 USPQ2d 1001, 1010 (2010) (“Flook established that limiting an abstract idea to one field of use or adding token postsolution components did not make the concept patentable”) (citing Parker v. Flook, 437 U.S. 584, 198 USPQ 193 (1978)). In Flook, the claim recited steps of calculating an updated value for an alarm limit (a numerical limit on a process variable such as temperature, pressure or flow rate) according to a mathematical formula “in a process comprising the catalytic chemical conversion of hydrocarbons.” 437 U.S. at 586, 198 USPQ at 196. Processes for the catalytic chemical conversion of hydrocarbons were used in the petrochemical and oil-refining fields. Id. Although the applicant argued that limiting the use of the formula to the petrochemical and oil-refining fields should make the claim eligible because this limitation ensured that the claim did not preempt all uses of the formula, the Supreme Court disagreed. 437 U.S. at 588-90, 198 USPQ at 197-98. Instead, the additional element in Flook regarding the catalytic chemical conversion of hydrocarbons was not sufficient to make the claim eligible, because it was merely an incidental or token addition to the claim that did not alter or affect how the process steps of calculating the alarm limit value were performed. Further, the Supreme Court found that this limitation did not amount to an inventive concept. 437 U.S. at 588-90, 198 USPQ at 197-98. The Court reasoned that to hold otherwise would “exalt[] form over substance”, because a competent claim drafter could attach a similar type of limitation to almost any mathematical formula. 437 U.S. at 590, 198 USPQ at 197. In contrast, the additional elements in Diamond v. Diehr as a whole provided eligibility and did not merely recite calculating a cure time using the Arrhenius equation “in a rubber molding process”. Instead, the claim in Diehr recited specific limitations such as monitoring the elapsed time since the mold was closed, constantly measuring the temperature in the mold cavity, repetitively calculating a cure time by inputting the measured temperature into the Arrhenius equation, and opening the press automatically when the calculated cure time and the elapsed time are equivalent. 450 U.S. at 179, 209 USPQ at 5, n. 5. These specific limitations act in concert to transform raw, uncured rubber into cured molded rubber. 450 U.S. at 177-78, 209 USPQ at 4. This “machine learning task” limitation does not integrate the additional element into a practical application and represents “insignificant extra-solution activity”. (See, M.P.E.P. § 2106.05(I)(A)). The answer to the inquiry is “NO”, no additional elements integrate the claimed abstract idea into a practical application. Step 2B inquiry: Does the claim provide an inventive concept, i.e., does the claim recite additional element(s) or a combination of elements that amount to significantly more than the judicial exception in the claim? Applicant’s claims contain the following “additional elements”: (1) An “obtaining” of “graph data” (2) A “graph neural network” (3) A “machine learning task” An “obtaining” of “graph data” is a broad term which is described at a high level. Applicant's Specification, paragraph [0051] recites: [0051] The system obtains graph data representing an input graph (step 202). As described above, the input graph includes a set of nodes and a set of edges that each connect a respective pair of nodes and the graph data includes respective node features for each of the nodes, edge features for each of the edges, and a respective weight for each of the edges. Optionally, the graph data can also include graph-level features that represent the entire graph. Each set of features, i.e., the graph-level features, the node features for a given node, and the edge features for a given edge, is generally represented as a vector of numerical values. Further, Applicant's Specification, paragraph [0086] recites: [0086] The processes and logic flows described in this specification can be performed by one or more programmable computers executing one or more computer programs to perform functions by operating on input data and generating output. The processes and logic flows can also be performed by special purpose logic circuitry, e.g., an FPGA or an ASIC, or by a combination of special purpose logic circuitry and one or more programmed computers. Therefore, the claim as a whole does not amount to significantly more than the exception itself (i.e., there is no inventive concept in the claim). (See, M.P.E.P. § 2106.05(II)). A “graph neural network” is a broad term which is described at a high level. Applicant’s Specification recites: [0046] The graph neural network 110 can have any appropriate graph neural network (GNN) architecture that allows the graph neural network 110 to map the graph data 102 to a task prediction 112. Therefore, the claim as a whole does not amount to significantly more than the exception itself (i.e., there is no inventive concept in the claim). (See, M.P.E.P. § 2106.05(II)). A “machine learning task” is a broad term which is described at a high level. M.P.E.P. § 2106.05(h) recites: 2106.05(h) Field of Use and Technological Environment [R-10.2019] Another consideration when determining whether a claim integrates the judicial exception into a practical application in Step 2A Prong Two or recites significantly more than a judicial exception in Step 2B is whether the additional elements amount to more than generally linking the use of a judicial exception to a particular technological environment or field of use. As explained by the Supreme Court, a claim directed to a judicial exception cannot be made eligible “simply by having the applicant acquiesce to limiting the reach of the patent for the formula to a particular technological use.” Diamond v. Diehr, 450 U.S. 175, 192 n.14, 209 USPQ 1, 10 n. 14 (1981). Thus, limitations that amount to merely indicating a field of use or technological environment in which to apply a judicial exception do not amount to significantly more than the exception itself, and cannot integrate a judicial exception into a practical application. The courts often cite to Parker v. Flook as providing a classic example of a field of use limitation. See, e.g., Bilski v. Kappos, 561 U.S. 593, 612, 95 USPQ2d 1001, 1010 (2010) (“Flook established that limiting an abstract idea to one field of use or adding token postsolution components did not make the concept patentable”) (citing Parker v. Flook, 437 U.S. 584, 198 USPQ 193 (1978)). In Flook, the claim recited steps of calculating an updated value for an alarm limit (a numerical limit on a process variable such as temperature, pressure or flow rate) according to a mathematical formula “in a process comprising the catalytic chemical conversion of hydrocarbons.” 437 U.S. at 586, 198 USPQ at 196. Processes for the catalytic chemical conversion of hydrocarbons were used in the petrochemical and oil-refining fields. Id. Although the applicant argued that limiting the use of the formula to the petrochemical and oil-refining fields should make the claim eligible because this limitation ensured that the claim did not preempt all uses of the formula, the Supreme Court disagreed. 437 U.S. at 588-90, 198 USPQ at 197-98. Instead, the additional element in Flook regarding the catalytic chemical conversion of hydrocarbons was not sufficient to make the claim eligible, because it was merely an incidental or token addition to the claim that did not alter or affect how the process steps of calculating the alarm limit value were performed. Further, the Supreme Court found that this limitation did not amount to an inventive concept. 437 U.S. at 588-90, 198 USPQ at 197-98. The Court reasoned that to hold otherwise would “exalt[] form over substance”, because a competent claim drafter could attach a similar type of limitation to almost any mathematical formula. 437 U.S. at 590, 198 USPQ at 197. In contrast, the additional elements in Diamond v. Diehr as a whole provided eligibility and did not merely recite calculating a cure time using the Arrhenius equation “in a rubber molding process”. Instead, the claim in Diehr recited specific limitations such as monitoring the elapsed time since the mold was closed, constantly measuring the temperature in the mold cavity, repetitively calculating a cure time by inputting the measured temperature into the Arrhenius equation, and opening the press automatically when the calculated cure time and the elapsed time are equivalent. 450 U.S. at 179, 209 USPQ at 5, n. 5. These specific limitations act in concert to transform raw, uncured rubber into cured molded rubber. 450 U.S. at 177-78, 209 USPQ at 4. Therefore, the claim as a whole does not amount to significantly more than the exception itself (i.e., there is no inventive concept in the claim). (See, M.P.E.P. § 2106.05(II)). Therefore, the answer to the inquiry is “NO”, no additional elements provide an inventive concept that is significantly more than the claimed abstract ideas the claimed abstract idea into a practical application. Claim 15 is, therefore, NOT ELIGIBLE subject matter under 35 U.S.C. § 101. Claim 16 Claim 16 recites: 16. The system of claim 15, wherein the one or more features comprise a respective hitting time feature for each of one or more of the edges in the graph that represents an expected number of steps for a random walk starting at a first node in the respective pair connected by the edge to hit a second node in the respective pair connected by the edge. Applicant’s Claim 16 merely teaches a mathematical “hitting time feature”. It does not integrate the abstract idea to a practical application, nor is it anything significantly more than the abstract idea. (See, 2106.05(a)(II).) Claim 16 is, therefore, NOT ELIGIBLE subject matter under 35 U.S.C. § 101. Claim 17 Claim 17 recites: 17. The system of claim 16, the operations further comprising: computing the respective hitting time feature for each of the one or more edges, comprising: computing a respective resistive embedding for each node in the graph; computing a weighted sum of the respective resistive embeddings, wherein each resistive embedding is weighted by a probability assigned to the corresponding node in a stationary distribution of random walks through the graph; for each of the one or more edges: computing an inner product between (i) a difference between the resistive embedding for the second node in the respective pair connected by the edge and the resistive embedding for the first node in the respective pair connected by the edge and (ii) a difference between the resistive embedding for the second node in the respective pair connected by the edge and the weighted sum of the respective resistive embeddings; and determining the respective hitting time feature for the edge from the inner product. Applicant’s Claim 17 merely teaches mathematically calculating specified parameters. It does not integrate the abstract idea to a practical application, nor is it anything significantly more than the abstract idea. (See, 2106.05(a)(II).) Claim 17 is, therefore, NOT ELIGIBLE subject matter under 35 U.S.C. § 101. Claim 18 Claim 18 recites: 18. The system of claim 15, wherein the one or more features comprise a respective commute time feature for each of one or more of the edges in the graph that represents an expected number of steps for a random walk starting at a first node in the respective pair connected by the edge to reach a second node in the respective pair connected by the edge and then return to the first node in the respective pair connected by the edge. Applicant’s Claim 18 merely teaches a mathematical commute time feature. It does not integrate the abstract idea to a practical application, nor is it anything significantly more than the abstract idea. (See, 2106.05(a)(II).) Claim 18 is, therefore, NOT ELIGIBLE subject matter under 35 U.S.C. § 101. Claim 19 Claim 19 recites: 19. The system of claim 18, the operations further computing the respective commute time feature for each of the one or more edges, comprising for each of the one or more edges: computing a first hitting time feature for the edge that represents an expected number of steps for a random walk starting at the first node in the respective pair connected by the edge to hit the second node in the respective pair connected by the edge; computing a second hitting time feature for the edge that represents an expected number of steps for a random walk starting at the second node in the respective pair connected by the edge to hit the first node in the respective pair connected by the edge; and computing the respective commute time feature for the edge from the first and second hitting time features. Applicant’s Claim 19 merely teaches mathematical computation of parameters. It does not integrate the abstract idea to a practical application, nor is it anything significantly more than the abstract idea. (See, 2106.05(a)(II).) Claim 19 is, therefore, NOT ELIGIBLE subject matter under 35 U.S.C. § 101. Claim 20 Claim 20 recites: 20. The system of claim 15, wherein the one or more affinity features comprise an effective resistance feature for each of one or more of the edges in the graph that represents an effective resistance between a first node in the respective pair connected by the edge and a second node in the respective pair connected by the edge in a circuit that corresponds to the graph and in which each edge is a resistor with resistance equal to a reciprocal of the respective weight for the edge. Applicant’s Claim 20 merely teaches mathematical features. It does not integrate the abstract idea to a practical application, nor is it anything significantly more than the abstract idea. (See, 2106.05(a)(II).) Claim 20 is, therefore, NOT ELIGIBLE subject matter under 35 U.S.C. § 101. Conclusion Any inquiries concerning this communication or earlier communications from the examiner should be directed to Wilbert L. Starks, Jr., who may be reached Monday through Friday, between 8:00 a.m. and 5:00 p.m. EST. or via telephone at (571) 272-3691 or email: Wilbert.Starks@uspto.gov. If you need to send an Official facsimile transmission, please send it to (571) 273-8300. If attempts to reach the examiner are unsuccessful the Examiner’s Supervisor (SPE), Kakali Chaki, may be reached at (571) 272-3719. Hand-delivered responses should be delivered to the Receptionist @ (Customer Service Window Randolph Building 401 Dulany Street, Alexandria, VA 22313), located on the first floor of the south side of the Randolph Building. Finally, information regarding the status of an application may be obtained from the Patent Application Information Retrieval (PAIR) system. Moreover, status information for published applications may be obtained from either Private PAIR or Public PAIR. Status information for unpublished applications is available through Private PAIR only. For more information about the PAIR system, see http://pair-direct.uspto.gov. Should you have any questions on access to the Private PAIR system, contact the Electronic Business Center (EBC) toll-free @ 1-866-217-9197. /WILBERT L STARKS/ Primary Examiner, Art Unit 2122 WLS 18 NOV 2025
Read full office action

Prosecution Timeline

Mar 06, 2023
Application Filed
Nov 18, 2025
Non-Final Rejection — §101 (current)

Precedent Cases

Applications granted by this same examiner with similar technology

Patent 12561587
DATA PROCESSING METHOD, ELECTRONIC DEVICE, AND STORAGE MEDIUM
2y 5m to grant Granted Feb 24, 2026
Patent 12555007
METHOD AND SYSTEM FOR INFERRING DEVICE FINGERPRINT
2y 5m to grant Granted Feb 17, 2026
Patent 12541694
GENERATING A DOMAIN-SPECIFIC KNOWLEDGE GRAPH FROM UNSTRUCTURED COMPUTER TEXT
2y 5m to grant Granted Feb 03, 2026
Patent 12525251
METHOD, SYSTEM AND PROGRAM PRODUCT FOR PERCEIVING AND COMPUTING EMOTIONS
2y 5m to grant Granted Jan 13, 2026
Patent 12518149
IMPLICIT VECTOR CONCATENATION WITHIN 2D MESH ROUTING
2y 5m to grant Granted Jan 06, 2026
Study what changed to get past this examiner. Based on 5 most recent grants.

AI Strategy Recommendation

Get an AI-powered prosecution strategy using examiner precedents, rejection analysis, and claim mapping.
Powered by AI — typically takes 5-10 seconds

Prosecution Projections

1-2
Expected OA Rounds
76%
Grant Probability
80%
With Interview (+4.4%)
3y 6m
Median Time to Grant
Low
PTA Risk
Based on 653 resolved cases by this examiner. Grant probability derived from career allow rate.

Sign in with your work email

Enter your email to receive a magic link. No password needed.

Personal email addresses (Gmail, Yahoo, etc.) are not accepted.

Free tier: 3 strategy analyses per month