Paper Citation Record · LEDGER

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses

As of 18 August 2026, this Paper Citation Record lists 100 of 247 outbound references and 4 inbound Pith citation observations for arXiv:2508.19641.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2508.19641 v1

Coverage vector

measured 100 of 247 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:39:55.698740Z

measured 104 of 104 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T21:53:59.325002Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T00:09:14.420902Z

Reference resolution

100 of 247 outbound references displayed

verified exact4
verified fuzzy0
unresolved96
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9c5c2ca2-012a-4049-b3c8-40bd419fc738 · outbound

This paper cites Cross- links matter for link prediction: rethinking the debiased gnn from a data perspective,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Cross- links matter for link prediction: rethinking the debiased gnn from a data perspective,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.118097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1624295b-05d6-49d6-9720-35ac947ddd1e · outbound

This paper cites A Topological Perspective on Demystifying GNN-Based Link Prediction Performance.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses A Topological Perspective on Demystifying GNN-Based Link Prediction Performance

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-05T15:39:58.103499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fcb47e06-a81e-4e9e-99ef-1eb9eb3858ee · outbound

This paper cites Page-link: Path-based graph neural network expla- nation for heterogeneous link prediction,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Page-link: Path-based graph neural network expla- nation for heterogeneous link prediction,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.130082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78f6892b-8558-45bf-a18f-45bfe757c00e · outbound

This paper cites Contrastive attributed network anomaly detection with data augmentation,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Contrastive attributed network anomaly detection with data augmentation,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.136634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68829ae5-8001-4d48-8148-822ba538d8b7 · outbound

This paper cites Adbench: Anomaly detection benchmark,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Adbench: Anomaly detection benchmark,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.142359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 695b01b8-1cd5-4ff6-95c7-b1929f39ad72 · outbound

This paper cites Few-shot network anomaly detection via cross-network meta-learning,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Few-shot network anomaly detection via cross-network meta-learning,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.149697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6cd94fb-2516-4606-98d8-410f373e99fe · outbound

This paper cites Graph WaveNet for Deep Spatial-Temporal Graph Modeling.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Graph WaveNet for Deep Spatial-Temporal Graph Modeling

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.156317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6437030-4f7d-4905-ba90-87ba926b3038 · outbound

This paper cites Pre-training enhanced spatial-temporal graph neural network for multivariate time series forecasting,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Pre-training enhanced spatial-temporal graph neural network for multivariate time series forecasting,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.162261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16283784-b221-4a6f-a0a0-19c59580251c · outbound

This paper cites Adaptive graph convolutional recurrent network for traffic forecasting,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Adaptive graph convolutional recurrent network for traffic forecasting,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.167914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c66bd100-9348-49a0-9267-b0822ea2c5d8 · outbound

This paper cites Dgrec: Graph neural network for recommendation with diver- sified embedding generation,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Dgrec: Graph neural network for recommendation with diver- sified embedding generation,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.173881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b7a42ac-1038-4030-880f-9cbd022fc5e9 · outbound

This paper cites Distributionally robust graph-based recommen- dation system,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Distributionally robust graph-based recommen- dation system,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.179475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 473860fb-64ea-404c-b1a9-e5e8476069ec · outbound

This paper cites Disease prediction via graph neural networks,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Disease prediction via graph neural networks,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.185307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73025001-9fb0-4c9e-abca-456f1178f4e7 · outbound

This paper cites Learning the graphical structure of electronic health records with graph convolutional transformer,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Learning the graphical structure of electronic health records with graph convolutional transformer,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.190500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c6cd5d0-306c-46bc-83cb-4121e899d2c6 · outbound

This paper cites Map-adaptive multimodal trajectory prediction using hierarchical graph neural networks,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Map-adaptive multimodal trajectory prediction using hierarchical graph neural networks,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.195602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f33ed07-67b3-4126-935a-6f639b588ae0 · outbound

This paper cites Graph relational reinforcement learning for mobile robot navigation in large-scale crowded environments,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Graph relational reinforcement learning for mobile robot navigation in large-scale crowded environments,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.202413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e05d44a-3a62-4634-a1b1-d45f013aacf5 · outbound

This paper cites Gnn at the edge: Cost-efficient graph neural network processing over distributed edge servers,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Gnn at the edge: Cost-efficient graph neural network processing over distributed edge servers,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.207355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16812bfd-97af-4f64-852b-c4c3eacd9990 · outbound

This paper cites Machine learning as a service: Challenges in research and applications,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Machine learning as a service: Challenges in research and applications,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.215234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ecb546a-f808-4de5-8993-74a4fa99243c · outbound

This paper cites Intellectual property protection of dnn models,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Intellectual property protection of dnn models,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.220018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f6b40cb-47c8-4dff-b540-295cdec50d71 · outbound

This paper cites Protecting intellectual property of language generation apis with lexical watermark,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Protecting intellectual property of language generation apis with lexical watermark,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.225239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45f04479-b1a5-4713-a87b-e80f05e76aaf · outbound

This paper cites Hardware- assisted intellectual property protection of deep learning mod- els,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Hardware- assisted intellectual property protection of deep learning mod- els,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.230108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8e7457c-7e05-4aaf-8a82-00afbd36fdd9 · outbound

This paper cites Secgnn: Privacy-preserving graph neural network training and inference as a cloud service,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Secgnn: Privacy-preserving graph neural network training and inference as a cloud service,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.234928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3da60d75-c844-4caf-a652-83082a3d937c · outbound

This paper cites Chiron: Privacy-preserving Machine Learning as a Service.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Chiron: Privacy-preserving Machine Learning as a Service

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.240620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f35d8d52-401a-4bd2-9b38-855be823d137 · outbound

This paper cites Veriml: Enabling integrity assurances and fair payments for machine learning as a service,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Veriml: Enabling integrity assurances and fair payments for machine learning as a service,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.246643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d187cb2d-48e3-4057-b559-19a89b4bb3cc · outbound

This paper cites Privacy- preserving deep learning on machine learning as a service—a comprehensive survey,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Privacy- preserving deep learning on machine learning as a service—a comprehensive survey,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.251440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c664b75-792a-4141-8d30-342ed880a195 · outbound

This paper cites Model extraction attacks revisited,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Model extraction attacks revisited,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.257458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02b078b1-ddf0-45f5-bded-488d928fe4a2 · outbound

This paper cites Model extraction warning in mlaas paradigm,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Model extraction warning in mlaas paradigm,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.265413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2cdce6c-588d-4f46-beff-65364f6438ff · outbound

This paper cites Learn What You Want to Unlearn: Unlearning Inversion Attacks against Machine Unlearning.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Learn What You Want to Unlearn: Unlearning Inversion Attacks against Machine Unlearning

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.272015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66164a62-87c2-4e6a-be8f-78efd0dc975b · outbound

This paper cites Cloud-driven machine learning with aws: A comprehensive review of services,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Cloud-driven machine learning with aws: A comprehensive review of services,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.277802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 842426eb-baa9-4849-9ac8-125e02b7fc4c · outbound

This paper cites Machine learning as a service cloud selection: An mcdm approach for optimal decision making,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Machine learning as a service cloud selection: An mcdm approach for optimal decision making,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.283536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b498a8a-410c-4e19-908b-0b1dbc7fd9ae · outbound

This paper cites CaT-GNN: Enhancing Credit Card Fraud Detection via Causal Temporal Graph Neural Networks.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses CaT-GNN: Enhancing Credit Card Fraud Detection via Causal Temporal Graph Neural Networks

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.288656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be4a889a-7ef5-4201-b8bd-45cef80f0e9b · outbound

This paper cites Internet financial fraud detection based on graph learning,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Internet financial fraud detection based on graph learning,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.296322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 579dc7a8-0c9b-4d5b-875b-1c01854ed0d7 · outbound

This paper cites Finsformer: A novel approach to detecting financial attacks using transformer and cluster-attention,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Finsformer: A novel approach to detecting financial attacks using transformer and cluster-attention,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.303622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1f01ec2-4229-432d-baaa-1229b4fed8e9 · outbound

This paper cites A Survey on Model Extraction Attacks and Defenses for Large Language Models.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses A Survey on Model Extraction Attacks and Defenses for Large Language Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.309520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f362441-3150-400a-8198-9abf5eaaad71 · outbound

This paper cites Scn gnn: A gnn-based fraud detection algorithm combining strong node and graph topology information,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Scn gnn: A gnn-based fraud detection algorithm combining strong node and graph topology information,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.315245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87de71d0-feb0-44bb-95ac-5e9cb69a91f4 · outbound

This paper cites Exploiting explanations for model inversion attacks,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Exploiting explanations for model inversion attacks,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.320140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d14c6a95-5d94-442f-b369-be419baa10c2 · outbound

This paper cites Gradient mechanism to pre- serve differential privacy and deter against model inversion attacks in healthcare analytics,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Gradient mechanism to pre- serve differential privacy and deter against model inversion attacks in healthcare analytics,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.326002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b5cfd7a-049a-40e2-a7b5-5fef1547c298 · outbound

This paper cites Towards electronic health record-based medical knowledge graph construction, completion, and applications: A literature study,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Towards electronic health record-based medical knowledge graph construction, completion, and applications: A literature study,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.331154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ecb72ec1-01e4-4bdd-b429-ece7fdc8e3af · outbound

This paper cites Deepnote-gnn: predicting hospital readmission using clinical notes and patient network,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Deepnote-gnn: predicting hospital readmission using clinical notes and patient network,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.336221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e957036a-ec4e-4161-8b8d-6d9f41ee498e · outbound

This paper cites How to cover up anomalous accesses to electronic health records,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses How to cover up anomalous accesses to electronic health records,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.341160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2d1cf81-c9b1-4b06-b2d1-371d3b678039 · outbound

This paper cites A systematic review of graph neural network in healthcare- based applications: Recent advances, trends, and future direc- tions,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses A systematic review of graph neural network in healthcare- based applications: Recent advances, trends, and future direc- tions,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.346180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6649ad16-e98c-4184-b6ad-ce39e0dd822a · outbound

This paper cites I know what you trained last summer: A survey on stealing machine learning models and defences,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses I know what you trained last summer: A survey on stealing machine learning models and defences,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.351052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12761373-063e-4043-91df-6fdb94647eaa · outbound

This paper cites Model extraction attacks and defenses on cloud-based machine learning models,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Model extraction attacks and defenses on cloud-based machine learning models,

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.356540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9debe04f-fa3b-4286-80f2-7aae9b62bf4f · outbound

This paper cites Adversarial attack and defense on graph data: A survey,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Adversarial attack and defense on graph data: A survey,

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.361985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33aadbd3-29e2-4eab-9f90-b5a331e02b91 · outbound

This paper cites Privacy Leakage on DNNs: A Survey of Model Inversion Attacks and Defenses.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Privacy Leakage on DNNs: A Survey of Model Inversion Attacks and Defenses

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.367619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e89f955b-d429-4f09-bd2d-ac3a14ad92e8 · outbound

This paper cites Stealing machine learning models via prediction {APIs},.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Stealing machine learning models via prediction {APIs},

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.372830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 098b043c-d087-4373-bfff-e1f68217d88a · outbound

This paper cites Model reconstruction from model explanations,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Model reconstruction from model explanations,

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.378561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c93b43c-f799-4af1-865b-a8473ed75fbe · outbound

This paper cites Knockoff nets: Stealing functionality of black-box models,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Knockoff nets: Stealing functionality of black-box models,

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.384246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f858406-15de-4904-a9de-aeb614f8cc5a · outbound

This paper cites Adversarial Model Extraction on Graph Neural Networks.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Adversarial Model Extraction on Graph Neural Networks

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.395968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb7d04a5-6402-47cd-b40b-7d4a6e4846dd · outbound

This paper cites Model stealing attacks against inductive graph neural networks,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Model stealing attacks against inductive graph neural networks,

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.402269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a06ca83e-e1c0-4c20-824e-fa756ea0f321 · outbound

This paper cites Model extraction at- tacks on graph neural networks: Taxonomy and realisation,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Model extraction at- tacks on graph neural networks: Taxonomy and realisation,

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.408383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a43b5fa9-7c4e-47ef-b3fe-ff0631129c7f · outbound

This paper cites Knowledge-enhanced black-box attacks for recommendations,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Knowledge-enhanced black-box attacks for recommendations,

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.413916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 785d6d84-e67b-4bb7-a183-4c36009de01f · outbound

This paper cites Unveiling the secrets without data: Can graph neural networks be exploited through {Data-Free} model extraction attacks?.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Unveiling the secrets without data: Can graph neural networks be exploited through {Data-Free} model extraction attacks?

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.419633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74665749-06e6-44fb-898c-ba49b64167a6 · outbound

This paper cites A comprehensive survey of privacy- preserving federated learning: A taxonomy, review, and future IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING 24 directions,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses A comprehensive survey of privacy- preserving federated learning: A taxonomy, review, and future IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING 24 directions,

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.426768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3c70603-9a14-49b9-9e6f-2fbf04eab253 · outbound

This paper cites Model inversion attacks that exploit confidence information and basic countermeasures,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Model inversion attacks that exploit confidence information and basic countermeasures,

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.433458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6b07db1-a691-4e67-ae45-6133ee138b86 · outbound

This paper cites Group property inference attacks against graph neural networks,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Group property inference attacks against graph neural networks,

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.440496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf05d8bf-9225-465c-a419-15907b29de34 · outbound

This paper cites Model inversion attacks against graph neural networks,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Model inversion attacks against graph neural networks,

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.446506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b920d3e6-c39b-4e2c-8c2c-c30ff4868b4b · outbound

This paper cites GraphMI: Extracting Private Graph Data from Graph Neural Networks.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses GraphMI: Extracting Private Graph Data from Graph Neural Networks

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.452202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee2b6e4f-e8cd-41ef-9297-fc6890e5c15e · outbound

This paper cites Model Inversion Attacks on Homogeneous and Heterogeneous Graph Neural Networks.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Model Inversion Attacks on Homogeneous and Heterogeneous Graph Neural Networks

Reference 59

Resolution: verified exact; local_arxiv, observed 2026-08-05T15:39:57.943885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bd29bf60-bff2-462e-8f4c-f14e72474a5e · outbound

This paper cites GAMIN: An Adversarial Approach to Black-Box Model Inversion.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses GAMIN: An Adversarial Approach to Black-Box Model Inversion

Reference 60

Resolution: verified exact; local_arxiv, observed 2026-08-05T15:39:57.918070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9de7a278-1521-4e89-9d66-849f684e8693 · outbound

This paper cites Digital rights management and wa- termarking of multimedia content for m-commerce applications,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Digital rights management and wa- termarking of multimedia content for m-commerce applications,

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.470480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d122ad7-ad2f-403f-819f-f533d34dd202 · outbound

This paper cites PreGIP: Watermarking the Pretraining of Graph Neural Networks for Deep Intellectual Property Protection.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses PreGIP: Watermarking the Pretraining of Graph Neural Networks for Deep Intellectual Property Protection

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.475529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 191389b8-bc57-4995-b989-c5b8e947d531 · outbound

This paper cites Watermarking graph neural networks based on backdoor attacks,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Watermarking graph neural networks based on backdoor attacks,

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.481001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5418b8aa-130a-41a3-8cdb-5be8ce279421 · outbound

This paper cites Transferable Watermarking to Self-supervised Pre-trained Graph Encoders by Trigger Embeddings.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Transferable Watermarking to Self-supervised Pre-trained Graph Encoders by Trigger Embeddings

Reference 64

Resolution: verified exact; local_arxiv, observed 2026-08-05T15:39:57.873230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 29706f48-2e55-41d0-ba03-2ec16ab182d1 · outbound

This paper cites Gnnfingers: A fingerprinting framework for verifying ownerships of graph neural networks,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Gnnfingers: A fingerprinting framework for verifying ownerships of graph neural networks,

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.492292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a20767d-ac03-4779-b424-be97ccc17d76 · outbound

This paper cites Gnnguard: A finger- printing framework for verifying ownerships of graph neural networks,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Gnnguard: A finger- printing framework for verifying ownerships of graph neural networks,

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.497987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9dcacc76-0d82-46d6-a0c3-fb398f0d0899 · outbound

This paper cites Smoothing adversarial training for gnn,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Smoothing adversarial training for gnn,

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.503340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ef3d7b1-00a1-41f4-908d-29bcbc3422f9 · outbound

This paper cites SoK: Differential Privacy on Graph-Structured Data.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses SoK: Differential Privacy on Graph-Structured Data

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.513830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7ad67e7-3b63-4d70-82cb-ca9b09f723e8 · outbound

This paper cites Netfense: Adversarial defenses against privacy attacks on neural networks for graph data,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Netfense: Adversarial defenses against privacy attacks on neural networks for graph data,

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.519368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c3a803c-8583-4603-adc1-8837b9f54882 · outbound

This paper cites Gnnguard: Defending graph neural networks against adversarial attacks,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Gnnguard: Defending graph neural networks against adversarial attacks,

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.526897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ef5c7df-f5b8-4e0c-9202-f8de899830b6 · outbound

This paper cites A comprehensive survey on trustworthy graph neu- ral networks: Privacy, robustness, fairness, and explainability,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses A comprehensive survey on trustworthy graph neu- ral networks: Privacy, robustness, fairness, and explainability,

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.531995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a2eb217-8917-4190-b639-378d98b9abad · outbound

This paper cites Trustworthy graph learning: Reliability, explainability, and privacy protection,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Trustworthy graph learning: Reliability, explainability, and privacy protection,

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.536909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42582e2a-f09a-4416-abd4-6c1b04413b63 · outbound

This paper cites Trustworthy Graph Neural Networks: Aspects, Methods and Trends.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Trustworthy Graph Neural Networks: Aspects, Methods and Trends

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.543085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3519eb96-d38f-4fd2-a3f3-cc0f4196bd97 · outbound

This paper cites Trustworthy graph learning: Reliability, explainability, and privacy protection,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Trustworthy graph learning: Reliability, explainability, and privacy protection,

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.548163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d115f3af-93df-4e47-a65f-2160fbee355b · outbound

This paper cites A review of adversarial attacks and defenses on graphs,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses A review of adversarial attacks and defenses on graphs,

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.554196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3bd8a2f1-d77b-404f-9b82-718ed0619a1f · outbound

This paper cites Graph robustness benchmark: Benchmarking the adversarial robustness of graph machine learning,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Graph robustness benchmark: Benchmarking the adversarial robustness of graph machine learning,

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.564475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee817541-06d2-4078-8d85-47d500043d86 · outbound

This paper cites Adversarial attack and defense on graph data: A survey,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Adversarial attack and defense on graph data: A survey,

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.572591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5cc8c181-4de7-49ca-9af5-3ef1468a3139 · outbound

This paper cites Intellectual property pro- tection for deep learning models: Taxonomy, methods, attacks, and evaluations,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Intellectual property pro- tection for deep learning models: Taxonomy, methods, attacks, and evaluations,

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.578621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d69f90e1-c0d3-47fb-997c-f3cbeab6bf54 · outbound

This paper cites Deep Intellectual Property Protection: A Survey.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Deep Intellectual Property Protection: A Survey

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.584136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea775abd-6da9-4c56-93bd-2bf5f143409c · outbound

This paper cites A survey of graph neural networks in real world: Imbalance, noise, privacy and ood challenges,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses A survey of graph neural networks in real world: Imbalance, noise, privacy and ood challenges,

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.590985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88472e42-85e5-4a1f-b716-b41f12fcc134 · outbound

This paper cites A machine learning-based approach to identify unlawful practices in online terms of service: analysis, implementation and eval- uation,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses A machine learning-based approach to identify unlawful practices in online terms of service: analysis, implementation and eval- uation,

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.596087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 452ddb4c-aec7-4c4d-8a8d-f27097669588 · outbound

This paper cites Simplifying graph convolutional networks,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Simplifying graph convolutional networks,

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.602820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f5806d1-0bc2-4297-87c2-a87c848cf540 · outbound

This paper cites Inductive representation learning on large graphs,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Inductive representation learning on large graphs,

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.608229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b1d8d0b-8e6d-4016-b23a-d20225ed9822 · outbound

This paper cites Graph Attention Networks.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Graph Attention Networks

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.613852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a97836b-7648-4b03-96de-f0e39758b830 · outbound

This paper cites How Powerful are Graph Neural Networks?.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses How Powerful are Graph Neural Networks?

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.619328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31060d3c-9cbc-41e5-9b5d-f7e5e85a58c0 · outbound

This paper cites node2vec: Scalable feature learning for networks,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses node2vec: Scalable feature learning for networks,

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.624679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b0dfb42-a068-4a1c-b95b-f393874e2dcb · outbound

This paper cites Heterogeneous graph neural network,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Heterogeneous graph neural network,

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.629463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5bfcbb38-ced0-470b-8645-bbb2a888207b · outbound

This paper cites CEGA: A Cost-Effective Approach for Graph-Based Model Extraction and Acquisition.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses CEGA: A Cost-Effective Approach for Graph-Based Model Extraction and Acquisition

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.634206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5be2c9b-ef97-49f0-8eab-8ae951384be8 · outbound

This paper cites Estimat- ing node importance in knowledge graphs using graph neural networks,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Estimat- ing node importance in knowledge graphs using graph neural networks,

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.639159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1326a69a-760d-45ae-a08f-9b08836dce94 · outbound

This paper cites Residual correlation in graph neural network regression,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Residual correlation in graph neural network regression,

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.643655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a6c700f-1692-4c19-9408-33ef192148c5 · outbound

This paper cites Spectral clustering with graph neural networks for graph pooling,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Spectral clustering with graph neural networks for graph pooling,

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.648504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7321b98-4f99-4c91-b8db-3f3d1834759e · outbound

This paper cites Graph clus- tering with graph neural networks,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Graph clus- tering with graph neural networks,

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.653279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff025767-2ede-4643-ba6f-d71df4473b1a · outbound

This paper cites Position-aware graph neural networks,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Position-aware graph neural networks,

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.658808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8c5f222-cccd-484b-9c2f-2ded8d9dd80b · outbound

This paper cites Iterative deep graph learning for graph neural networks: Better and robust node embeddings,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Iterative deep graph learning for graph neural networks: Better and robust node embeddings,

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.664049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80b5463f-b679-4c1a-892a-79fc52382c3d · outbound

This paper cites Link prediction based on graph neu- ral networks,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Link prediction based on graph neu- ral networks,

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.668872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe23ac5a-e846-49cc-919a-be4c3132dd0b · outbound

This paper cites Graph convolutional neural networks for web-scale recommender systems,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Graph convolutional neural networks for web-scale recommender systems,

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.674135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6cf72c5f-c2dd-42a8-8a7d-013aed279314 · outbound

This paper cites Dual subgraph-based graph neural network for friendship prediction in location-based social networks,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Dual subgraph-based graph neural network for friendship prediction in location-based social networks,

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.678781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47b0606d-e454-4754-9c56-f339b59b9060 · outbound

This paper cites A comprehensive survey on graph neural networks,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses A comprehensive survey on graph neural networks,

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.683742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5462790-a885-44f9-ab06-954548ae7be6 · outbound

This paper cites Drug repurposing based on the dtd-gnn graph neural network: revealing the relationships among drugs, targets and diseases,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Drug repurposing based on the dtd-gnn graph neural network: revealing the relationships among drugs, targets and diseases,

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.688709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02092d51-d653-4fd4-af2c-3afebdf29f15 · outbound

This paper cites Graphsmote: Imbalanced node classification on graphs with graph neural networks,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Graphsmote: Imbalanced node classification on graphs with graph neural networks,

Reference 101

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.693743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ea1e628-370e-4c9c-962e-f068b22f2a93 · outbound

This paper cites Superglue: Learning feature matching with graph neural net- works,.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Superglue: Learning feature matching with graph neural net- works,

Reference 102

Resolution: unresolved; no resolver link, observed 2026-08-05T15:39:55.698740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation e53c51d2-5ce4-40cb-8e08-0ca9c3af599c · inbound

GraphIP-Bench: How Hard Is It to Steal a Graph Neural Network, and Can We Stop It? cites this paper.

GraphIP-Bench: How Hard Is It to Steal a Graph Neural Network, and Can We Stop It? Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-14T19:29:23.839808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 464fcff7-f662-4dd0-8847-9f5397b16934 · inbound

GraphIP-Bench: How Hard Is It to Steal a Graph Neural Network, and Can We Stop It? cites this paper.

GraphIP-Bench: How Hard Is It to Steal a Graph Neural Network, and Can We Stop It? Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-06-30T21:55:05.717760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e6d5ac1c-efc1-4b81-a16c-9a04c505f792 · inbound

Can Subgraph Explanations Be Weaponized to Steal Graph Neural Networks? cites this paper.

Can Subgraph Explanations Be Weaponized to Steal Graph Neural Networks? Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:33:14.869585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 23d75a01-8d8a-414d-8174-8eaf5c650e37 · inbound

AGDN: Learning to Solve Traveling Salesman Problem with Anisotropic Graph Diffusion Network cites this paper.

AGDN: Learning to Solve Traveling Salesman Problem with Anisotropic Graph Diffusion Network Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-07-04T00:09:14.423430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.