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Paper Citation Record · LEDGER

Node-Level Membership Inference Attacks Against Graph Neural Networks

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2102.05429.

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

pith.paper-citation-record.v1
2102.05429 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:53:47.952900Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T03:56:34.620750Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation ded82e53-85c1-4b77-9585-e123082913ce · inbound

Stealing Training Graphs from Graph Neural Networks cites this paper.

Stealing Training Graphs from Graph Neural Networks Node-Level Membership Inference Attacks Against Graph Neural Networks

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-12T18:53:47.952900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:53:47.952900Z digest=sha256:eaf0260ddd19a5ddce26215ad434d64b9b5df61e3a9ea81a8c26d0873f6c0d16

Observation 22b2e3c5-9651-4778-8535-5288bb61c293 · inbound

GraphTheft: Quantifying Privacy Risks in Graph Prompt Learning cites this paper.

GraphTheft: Quantifying Privacy Risks in Graph Prompt Learning Node-Level Membership Inference Attacks Against Graph Neural Networks

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-12T15:02:32.367591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:02:32.367591Z digest=sha256:078b594bc6223f9af994fafa4a18e8944bc339f5de3da4d3721ce8332304b47b

Observation 48e59136-0966-4768-9863-8246c4558d55 · inbound

Large Language Models Merging for Enhancing the Link Stealing Attack on Graph Neural Networks cites this paper.

Large Language Models Merging for Enhancing the Link Stealing Attack on Graph Neural Networks Node-Level Membership Inference Attacks Against Graph Neural Networks

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-11T20:23:28.537057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:23:28.537057Z digest=sha256:81560b0c05130b0f8f7a1a8b71477a8529766e3e16af0c0e2859967f26f8107d

Observation ac41a6bb-1007-4b66-a2a4-f0575081cf18 · inbound

GRID: Protecting Training Graph from Link Stealing Attacks on GNN Models cites this paper.

GRID: Protecting Training Graph from Link Stealing Attacks on GNN Models Node-Level Membership Inference Attacks Against Graph Neural Networks

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-10T18:53:15.745884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:53:15.745884Z digest=sha256:1c4c1853ea60834fb49d4f679dfbbcb12fa6ca10624a878baa02803a2b3601a5

Observation 99a967d8-bd8e-42bf-90ed-adb64d1cd760 · inbound

An Out-Of-Distribution Membership Inference Attack Approach for Cross-Domain Graph Attacks cites this paper.

An Out-Of-Distribution Membership Inference Attack Approach for Cross-Domain Graph Attacks Node-Level Membership Inference Attacks Against Graph Neural Networks

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-07T14:04:59.529378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:04:59.529378Z digest=sha256:0be34e7682213569f0750f20665ab2c46e6b40c7d29978e4d53eca60b171042b

Observation cfc79789-f4bb-4b94-9f66-d40cd7bba558 · inbound

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark cites this paper.

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark Node-Level Membership Inference Attacks Against Graph Neural Networks

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T05:29:44.818943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:29:44.818943Z digest=sha256:0d4c8415bc341b3eab6c8c2a947fa3c15c131b3862fd4d6b43705ee92f3b8c91

Observation 21ac3e4d-7fe0-4c41-a853-3d90902e7ef0 · inbound

Who Owns This Sample: Cross-Client Membership Inference Attack in Federated Graph Neural Networks cites this paper.

Who Owns This Sample: Cross-Client Membership Inference Attack in Federated Graph Neural Networks Node-Level Membership Inference Attacks Against Graph Neural Networks

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T13:56:21.715226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:56:21.715226Z digest=sha256:a88d3873f4d7ebe4154e8ac409318062801e88216cf1325bc6f19c3dafe36049

Observation ab3aa8da-f854-4635-ae66-1e8243c7cc3a · inbound

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses cites this paper.

Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Node-Level Membership Inference Attacks Against Graph Neural Networks

Reference 130

Resolution
unresolved
no resolver link, observed 2026-08-05T15:39:55.844756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:39:55.844756Z digest=sha256:17f0c759ac795c2f943fb50f3a7dccd9bee4ade8a9c8a35bc2c26d4b8a410abe

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

Impact of Graph Structure on Membership-Inference Risk for Graph Neural Networks cites this paper.

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

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-03T08:30:22.443095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T08:30:22.443095Z digest=sha256:f2ab28402eee61b737d431075a655c76d8967dc915a30539608556a8c4abd85c

Observation d9c7a7fe-db92-4556-8dcd-af2ecd5d70c0 · inbound

Pop Quiz Attack: Black-box Membership Inference Attacks Against Large Language Models cites this paper.

Pop Quiz Attack: Black-box Membership Inference Attacks Against Large Language Models Node-Level Membership Inference Attacks Against Graph Neural Networks

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-11T20:26:09.105134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-08T09:14:12.034025Z digest=sha256:fe78040bdaa3330f7b361297656674a6b65a3f2fe745aae945e7afec7e252233

Observation 744fb2b4-6535-4292-9582-de27605c573a · inbound

Bayesian Membership Privacy for Graph Neural Networks cites this paper.

Bayesian Membership Privacy for Graph Neural Networks Node-Level Membership Inference Attacks Against Graph Neural Networks

Reference 54

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T03:56:34.622303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-06-28T09:35:38.713244Z digest=sha256:6526c829530de929cf220e2b2e9a1bcd6c5f521512ab43c4021070603ec89ac0