Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T08:30:22.666273Z
Paper Citation Record · LEDGER
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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T08:30:22.666273Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
34 of 34 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 9797da20-66aa-40ad-ae0f-cab6fdc95d7a · outbound
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
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
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
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
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
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
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
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
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
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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Observation 76eefa31-2cd0-497d-a7c8-bf4e60e73a31 · outbound
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
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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Observation a8286d32-6cfa-4603-8c27-a80168a1cfce · outbound
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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Observation 1e02031c-6c37-4730-9731-d5479d68b5d7 · outbound
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
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
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
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
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
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
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
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
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
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
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
Impact of Graph Structure on Membership-Inference Risk for Graph Neural Networks Deep learning with differential privacy,
Reference 25
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Observation 28061d46-b1e0-4b62-b613-3cc239ad30d7 · outbound
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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Observation 4cbe0944-8b77-4f30-a9c9-ae6b5ead84a2 · outbound
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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Observation c83eaddb-f2ce-43a2-ba3d-ab4380bbb9ef · outbound
Impact of Graph Structure on Membership-Inference Risk for Graph Neural Networks Locally private graph neural networks,
Reference 28
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Observation 4ea29531-a274-4825-88c6-31748b8ec61c · outbound
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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Observation 5c935609-1cbf-41df-8fda-9c58e83a15e0 · outbound
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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Observation 6f5c3ba0-46c2-4d4d-8037-6bbdd7e165e6 · outbound
Impact of Graph Structure on Membership-Inference Risk for Graph Neural Networks Sampling from large graphs,
Reference 31
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Observation 6acf9276-b593-4540-9e50-2d0b6aa6418e · outbound
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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Observation 5b830037-b02f-4138-a65b-c81057e22ce3 · outbound
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
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.