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Paper Citation Record · LEDGER

Impact of Graph Structure on Membership-Inference Risk for Graph Neural Networks

As of 17 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2601.17130.

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

pith.paper-citation-record.v1
2601.17130 v2

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T08:30:22.666273Z

measured 34 of 34 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

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Reference resolution

34 of 34 outbound references displayed

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  • malformed identifier1
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No source-named external measurement is stored.

Outbound references

Observation 9797da20-66aa-40ad-ae0f-cab6fdc95d7a · outbound

This paper cites Utilizing graph machine learning within drug discovery and development,.

Impact of Graph Structure on Membership-Inference Risk for Graph Neural Networks Utilizing graph machine learning within drug discovery and development,

Reference 1

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Observation d2bc703b-ea0d-4588-9478-698d89a46fa2 · outbound

This paper cites Integration of multiomics data with graph convolutional networks to identify new can- cer genes and their associated molecular mechanisms,.

Impact of Graph Structure on Membership-Inference Risk for Graph Neural Networks Integration of multiomics data with graph convolutional networks to identify new can- cer genes and their associated molecular mechanisms,

Reference 2

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Observation 69c6d589-4612-4702-95d0-d86344c89b57 · outbound

This paper cites Learning to simulate complex physics with graph networks,.

Impact of Graph Structure on Membership-Inference Risk for Graph Neural Networks Learning to simulate complex physics with graph networks,

Reference 3

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Observation 7d9eccac-309f-44c2-b331-48d18054cab0 · outbound

This paper cites Quantifying privacy leakage in graph embedding,.

Impact of Graph Structure on Membership-Inference Risk for Graph Neural Networks Quantifying privacy leakage in graph embedding,

Reference 4

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Observation 587397fb-e226-466e-83dd-82eae598c79a · outbound

This paper cites Label-only membership inference attack against node-level graph neural networks,.

Impact of Graph Structure on Membership-Inference Risk for Graph Neural Networks Label-only membership inference attack against node-level graph neural networks,

Reference 5

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Observation 3e8fee13-7b4d-4b92-859f-fab5b5cd615b · outbound

This paper cites Stealing links from graph neural networks,.

Impact of Graph Structure on Membership-Inference Risk for Graph Neural Networks Stealing links from graph neural networks,

Reference 6

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Observation bbdaaccd-bb0c-48a0-9c38-88db553cfb8f · outbound

This paper cites How powerful are membership inference attacks on graph neural networks?.

Impact of Graph Structure on Membership-Inference Risk for Graph Neural Networks How powerful are membership inference attacks on graph neural networks?

Reference 7

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Observation d463055b-908b-4c32-b5c9-d90ecabea584 · outbound

This paper cites Subgraph structure membership inference attacks against graph neural networks,.

Impact of Graph Structure on Membership-Inference Risk for Graph Neural Networks Subgraph structure membership inference attacks against graph neural networks,

Reference 8

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Observation 63be63c6-1063-45a1-bc1e-3b51a55568ad · outbound

This paper cites Adapting membership inference attacks to gnn for graph classification: Approaches and implications,.

Impact of Graph Structure on Membership-Inference Risk for Graph Neural Networks Adapting membership inference attacks to gnn for graph classification: Approaches and implications,

Reference 9

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Observation 6528a238-da28-48ca-874f-4891d9a0d4e4 · outbound

This paper cites A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability.

Impact of Graph Structure on Membership-Inference Risk for Graph Neural Networks A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability

Reference 10

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source=pdf_text observed=2026-08-03T08:30:20.212975Z digest=sha256:8094a1d25801447431784c6b4a19e7bcfb3d7072501f26834f5048efc4207eaf

Observation 76eefa31-2cd0-497d-a7c8-bf4e60e73a31 · outbound

This paper cites Membership Inference Attacks on Knowledge Graphs.

Impact of Graph Structure on Membership-Inference Risk for Graph Neural Networks Membership Inference Attacks on Knowledge Graphs

Reference 11

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Observation 6805bcc3-8392-4a51-8078-9f0459015077 · outbound

This paper cites Membership inference attack on graph neural networks,.

Impact of Graph Structure on Membership-Inference Risk for Graph Neural Networks Membership inference attack on graph neural networks,

Reference 12

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source=pdf_text observed=2026-08-03T08:30:20.361660Z digest=sha256:2c56f24dd05821676dd448e42ec67dee6f67a08f1d5d5049b588a4601f4a7a59

Observation a8286d32-6cfa-4603-8c27-a80168a1cfce · outbound

This paper cites Membership inference attacks against machine learning models,.

Impact of Graph Structure on Membership-Inference Risk for Graph Neural Networks Membership inference attacks against machine learning models,

Reference 13

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source=pdf_text observed=2026-08-03T08:30:20.446184Z digest=sha256:9dd862fcc37a93e30d5cc649d9a24a264b7b48ae713f1b048fb5df75fd328759

Observation 1e02031c-6c37-4730-9731-d5479d68b5d7 · outbound

This paper cites Privacy risk in machine learning: Analyzing the connection to overfitting,.

Impact of Graph Structure on Membership-Inference Risk for Graph Neural Networks Privacy risk in machine learning: Analyzing the connection to overfitting,

Reference 14

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Observation 01379742-ad0e-4d4d-9a2e-287780f670c9 · outbound

This paper cites Investigating membership inference attacks under data dependencies,.

Impact of Graph Structure on Membership-Inference Risk for Graph Neural Networks Investigating membership inference attacks under data dependencies,

Reference 15

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Observation 742f91e0-010f-4f8b-b6b3-874f205561d4 · outbound

This paper cites Semi-supervised classification with graph convolutional networks,.

Impact of Graph Structure on Membership-Inference Risk for Graph Neural Networks Semi-supervised classification with graph convolutional networks,

Reference 16

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Observation fd9e0fab-07b4-46da-8428-227b49d200c6 · outbound

This paper cites Inductive representation learning on large graphs,.

Impact of Graph Structure on Membership-Inference Risk for Graph Neural Networks Inductive representation learning on large graphs,

Reference 17

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Observation 032bc736-1459-4dda-a636-a693ae706dc2 · outbound

This paper cites Graph Attention Networks.

Impact of Graph Structure on Membership-Inference Risk for Graph Neural Networks Graph Attention Networks

Reference 18

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Observation 47355ecf-d4a2-48d6-8a6f-8ab9df16c88a · outbound

This paper cites Membership inference attacks from first principles,.

Impact of Graph Structure on Membership-Inference Risk for Graph Neural Networks Membership inference attacks from first principles,

Reference 19

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Observation 8adb89f1-5969-4357-808b-c8672d16446d · outbound

This paper cites ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models.

Impact of Graph Structure on Membership-Inference Risk for Graph Neural Networks ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models

Reference 20

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Observation 3c263289-3c3f-41a5-bae6-4078b23ec4b3 · outbound

This paper cites Membership inference attacks on machine learning: A survey,.

Impact of Graph Structure on Membership-Inference Risk for Graph Neural Networks Membership inference attacks on machine learning: A survey,

Reference 21

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Observation df7d3315-30cf-4e34-af23-be31d7432c9a · outbound

This paper cites Calibrating noise to sensitivity in private data analysis,.

Impact of Graph Structure on Membership-Inference Risk for Graph Neural Networks Calibrating noise to sensitivity in private data analysis,

Reference 22

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Observation 7f7cd0fa-e3d9-400a-9617-feb692902a70 · outbound

This paper cites Scalable Private Learning with PATE.

Impact of Graph Structure on Membership-Inference Risk for Graph Neural Networks Scalable Private Learning with PATE

Reference 23

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Observation 0e649ffd-40c0-467b-929e-0fe25df59374 · outbound

This paper cites Releasing graph neural networks with differential privacy guarantees,.

Impact of Graph Structure on Membership-Inference Risk for Graph Neural Networks Releasing graph neural networks with differential privacy guarantees,

Reference 24

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Observation e1ac09d2-c820-49d4-96a0-5388547599e4 · outbound

This paper cites Deep learning with differential privacy,.

Impact of Graph Structure on Membership-Inference Risk for Graph Neural Networks Deep learning with differential privacy,

Reference 25

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source=pdf_text observed=2026-08-03T08:30:21.345009Z digest=sha256:c5b82f1449ae03cbc0a3ecd290bd38dad9ef6c56fb54e3a8697ec3a4e3f7cce2

Observation 28061d46-b1e0-4b62-b613-3cc239ad30d7 · outbound

This paper cites Preserving node-level privacy in graph neural networks,.

Impact of Graph Structure on Membership-Inference Risk for Graph Neural Networks Preserving node-level privacy in graph neural networks,

Reference 26

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source=pdf_text observed=2026-08-03T08:30:21.450235Z digest=sha256:87f830c8e89cbf9aa0e3011dc07092776872031e2f806804f18522129a41f4e3

Observation 4cbe0944-8b77-4f30-a9c9-ae6b5ead84a2 · outbound

This paper cites GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation.

Impact of Graph Structure on Membership-Inference Risk for Graph Neural Networks GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation

Reference 27

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source=pdf_text observed=2026-08-03T08:30:21.614199Z digest=sha256:985334980f7c64447e775b9d34b7e4c4e9435693ea666f7b14666b68c67b99a5

Observation c83eaddb-f2ce-43a2-ba3d-ab4380bbb9ef · outbound

This paper cites Locally private graph neural networks,.

Impact of Graph Structure on Membership-Inference Risk for Graph Neural Networks Locally private graph neural networks,

Reference 28

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source=pdf_text observed=2026-08-03T08:30:21.778763Z digest=sha256:c12b06efd8b8967e58cf2595906f742f005e272909b08e71b9c0c1187c08605e

Observation 4ea29531-a274-4825-88c6-31748b8ec61c · outbound

This paper cites Evaluating differentially private machine learning in practice,.

Impact of Graph Structure on Membership-Inference Risk for Graph Neural Networks Evaluating differentially private machine learning in practice,

Reference 29

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source=pdf_text observed=2026-08-03T08:30:21.946400Z digest=sha256:ab4020ebca258bc28fa2a75c91cd8365c8c2dce2fb76baf592439b173602d4fb

Observation 5c935609-1cbf-41df-8fda-9c58e83a15e0 · outbound

This paper cites Auditing differentially private machine learning: How private is private sgd?.

Impact of Graph Structure on Membership-Inference Risk for Graph Neural Networks Auditing differentially private machine learning: How private is private sgd?

Reference 30

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source=pdf_text observed=2026-08-03T08:30:22.124162Z digest=sha256:68a58981b5ee959a291a9ecee9d4aa48244e8b1cbdaad46d0b5144aa2f992285

Observation 6f5c3ba0-46c2-4d4d-8037-6bbdd7e165e6 · outbound

This paper cites Sampling from large graphs,.

Impact of Graph Structure on Membership-Inference Risk for Graph Neural Networks Sampling from large graphs,

Reference 31

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source=pdf_text observed=2026-08-03T08:30:22.281970Z digest=sha256:3aa205c9cf235ea026dcbfd78e345f8fad76ed307db1dbfa4bab085d11aebac9

Observation 6acf9276-b593-4540-9e50-2d0b6aa6418e · outbound

This paper cites Node-Level Membership Inference Attacks Against Graph Neural Networks.

Impact of Graph Structure on Membership-Inference Risk for Graph Neural Networks Node-Level Membership Inference Attacks Against Graph Neural Networks

Reference 32

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source=pdf_text observed=2026-08-03T08:30:22.443095Z digest=sha256:29b02c67e686661a3933b8d4ecc06bf217f0f92332a5ddd94185ea68dc05287c

Observation 5b830037-b02f-4138-a65b-c81057e22ce3 · outbound

This paper cites Collective classification in network data,.

Impact of Graph Structure on Membership-Inference Risk for Graph Neural Networks Collective classification in network data,

Reference 33

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Observation 0707ad18-f6eb-4f9f-a817-c0f06a13cbe3 · outbound

This paper cites Multi-scale attributed node embedding,.

Impact of Graph Structure on Membership-Inference Risk for Graph Neural Networks Multi-scale attributed node embedding,

Reference 34

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No inbound Pith citation observations are available.