Paper Citation Record · LEDGER

Cooperative Causal GraphSAGE

As of 23 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2505.14748.

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

pith.paper-citation-record.v1
2505.14748 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:45:42.621050Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

30 of 30 outbound references displayed

verified exact1
verified fuzzy28
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7c4d3774-9193-4e8e-87fb-7021707067a5 · outbound

This paper cites Deep graph learning for anomalous citation detection,.

Cooperative Causal GraphSAGE Deep graph learning for anomalous citation detection,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:47:38.423890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 64b9a7ea-f0ac-421e-9021-6d7f56bf77c7 · outbound

This paper cites Harnessing the Power of Ego Network Layers for Link Prediction in Online Social Networks,.

Cooperative Causal GraphSAGE Harnessing the Power of Ego Network Layers for Link Prediction in Online Social Networks,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:47:38.126452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4e0c2646-7200-496a-8b77-2a82012f1558 · outbound

This paper cites Attribute graph neural networks for strict cold start recommendation,.

Cooperative Causal GraphSAGE Attribute graph neural networks for strict cold start recommendation,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:47:37.747836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation aa378b9b-c334-4e4b-b4ca-83aeacfa11d7 · outbound

This paper cites FP -GNN: A versatile deep learning architecture for enhanced molecular property prediction,.

Cooperative Causal GraphSAGE FP -GNN: A versatile deep learning architecture for enhanced molecular property prediction,

Reference 4

Resolution: verified exact; doi, observed 2026-08-07T15:45:42.792631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3d39dbef-1272-4711-870a-5437f95b428d · outbound

This paper cites Inductive representation learning on large graphs,.

Cooperative Causal GraphSAGE Inductive representation learning on large graphs,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:45:49.824822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 99a3c1d8-58a3-43aa-9088-70b29d5dba74 · outbound

This paper cites FastGCN: Fast learning with graph convolutional networks via importance sampling,.

Cooperative Causal GraphSAGE FastGCN: Fast learning with graph convolutional networks via importance sampling,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:45:49.534301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e40c4d32-ab53-4757-9ec3-4fec6e9f9fed · outbound

This paper cites Graph attention networks,.

Cooperative Causal GraphSAGE Graph attention networks,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:45:49.234086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a6456fea-b422-41cf-bfa0-19cc95f219c9 · outbound

This paper cites Advancing GraphSAGE with a data -driven node sampling,.

Cooperative Causal GraphSAGE Advancing GraphSAGE with a data -driven node sampling,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:45:48.930084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 675f333e-03ca-4763-8819-5ebd37719086 · outbound

This paper cites A learnable sampling method for scalable graph neural networks,.

Cooperative Causal GraphSAGE A learnable sampling method for scalable graph neural networks,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:45:48.729218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 30e36f92-fe68-40a9-b51b-3936b1fe038d · outbound

This paper cites Graph neural network with curriculum learning for imbalanced node classification,.

Cooperative Causal GraphSAGE Graph neural network with curriculum learning for imbalanced node classification,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:45:48.443024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation abf43480-f058-4342-93fc-1aeb2214b2f5 · outbound

This paper cites A graph neural network node classification application model with enhanced node association,.

Cooperative Causal GraphSAGE A graph neural network node classification application model with enhanced node association,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:45:48.161929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2b88a9d2-6925-40f3-91b3-a199d29a8294 · outbound

This paper cites A unified deep semi -supervised graph learning scheme based on nodes re -weighting and manifold regularization,.

Cooperative Causal GraphSAGE A unified deep semi -supervised graph learning scheme based on nodes re -weighting and manifold regularization,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:45:47.915149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3dc5b90a-af0d-411e-b61a-4369b1835a98 · outbound

This paper cites Causal GraphSAGE: A robust graph method for classification based on causal sampling,.

Cooperative Causal GraphSAGE Causal GraphSAGE: A robust graph method for classification based on causal sampling,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:45:47.648700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0167f067-ab2d-4432-9904-b5bb290d99dc · outbound

This paper cites CAGCN: Causal attention graph convolutional network against adversarial attacks,.

Cooperative Causal GraphSAGE CAGCN: Causal attention graph convolutional network against adversarial attacks,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:45:47.380744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 56b35488-2ceb-48ec-a12a-3d0eb987f6da · outbound

This paper cites CiGNN: A causality - informed and graph neural network based framework for cuffless continuous blood pressure estimation,.

Cooperative Causal GraphSAGE CiGNN: A causality - informed and graph neural network based framework for cuffless continuous blood pressure estimation,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:45:47.052352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ce92b945-928b-41fa-bfc4-be579ec2e5da · outbound

This paper cites Causality -based CTR prediction using graph neural networks,.

Cooperative Causal GraphSAGE Causality -based CTR prediction using graph neural networks,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:45:46.883806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 74554342-b279-4427-bcdb-7a18de7348ee · outbound

This paper cites Learning and evaluating graph neural network explanations based on counterfactual and factual reasoning,.

Cooperative Causal GraphSAGE Learning and evaluating graph neural network explanations based on counterfactual and factual reasoning,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:45:46.610755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d39116fc-a00b-4330-9abb-a4f8e45b44d3 · outbound

This paper cites A collaborative filtering recommendation algorithm based on community detection and graph neural network,.

Cooperative Causal GraphSAGE A collaborative filtering recommendation algorithm based on community detection and graph neural network,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:45:46.418742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6dfe48de-a0c7-484a-94f6-23bb3db0fd2c · outbound

This paper cites Flowx: Towards explainable graph neural networks via message flows,.

Cooperative Causal GraphSAGE Flowx: Towards explainable graph neural networks via message flows,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:45:46.220761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e11bf636-91a9-4264-82a2-ab524da8c612 · outbound

This paper cites Core, Shapley value, nucleolus and nash bargaining solution: A Survey of recent developments and applications in operations management,.

Cooperative Causal GraphSAGE Core, Shapley value, nucleolus and nash bargaining solution: A Survey of recent developments and applications in operations management,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:45:45.889045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bd0b877b-e182-41e4-a3b3-37ac1651d5e0 · outbound

This paper cites Decomposition procedures for distributional analysis: a unified framework based on the Shapley value,.

Cooperative Causal GraphSAGE Decomposition procedures for distributional analysis: a unified framework based on the Shapley value,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:45:45.618003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 976e0aea-d938-4e1a-b2ca-e08e24f647cb · outbound

This paper cites Collective explainable AI: Explaining cooperative strategies and agent contribution in multiagent reinforcement learning with Shapley values,.

Cooperative Causal GraphSAGE Collective explainable AI: Explaining cooperative strategies and agent contribution in multiagent reinforcement learning with Shapley values,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:45:45.289918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0ab91f6e-1758-44ea-bb2d-0138175e981c · outbound

This paper cites Random Shapley forests: Cooperative game -based random forests with consistency,.

Cooperative Causal GraphSAGE Random Shapley forests: Cooperative game -based random forests with consistency,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:45:44.815743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation af641427-2aa7-4e4e-8c72-6e442c11ece8 · outbound

This paper cites Quantitatively interpreting residents happiness prediction by considering factor –factor interactions,.

Cooperative Causal GraphSAGE Quantitatively interpreting residents happiness prediction by considering factor –factor interactions,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:45:44.594920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 53e4ce28-b89e-401d-85da-f120b0945429 · outbound

This paper cites A Shapley value -based approach to discover influential nodes in social networks,.

Cooperative Causal GraphSAGE A Shapley value -based approach to discover influential nodes in social networks,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:45:44.328163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 915a8609-0adf-4e1d-8950-b9c9fbd9423e · outbound

This paper cites Shapley explainer –An interpretation method for GNNs used in SDN,.

Cooperative Causal GraphSAGE Shapley explainer –An interpretation method for GNNs used in SDN,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:45:44.125640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3b2958da-a167-4ec4-93e3-af03b48ec23e · outbound

This paper cites EdgeSHAPer: Bond -centric Shapley value -based explanation method for graph neural networks,.

Cooperative Causal GraphSAGE EdgeSHAPer: Bond -centric Shapley value -based explanation method for graph neural networks,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T15:45:42.221291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd79a517-b4e0-442e-80b8-fe5db4950323 · outbound

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

Cooperative Causal GraphSAGE Semi -supervised classification with graph convolutional networks,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:45:43.803785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 59d90806-853a-44f5-9d1d-2cfcdd983a1f · outbound

This paper cites Negative samples selecting strategy for graph contrastive learning,.

Cooperative Causal GraphSAGE Negative samples selecting strategy for graph contrastive learning,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:45:43.474743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 049bafcb-054a-41ec-9b32-e727c4ce1c3d · outbound

This paper cites A unified deep semi -supervised graph learning scheme based on nodes re -weighting and manifold regularization,.

Cooperative Causal GraphSAGE A unified deep semi -supervised graph learning scheme based on nodes re -weighting and manifold regularization,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:45:43.174743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

No inbound Pith citation observations are available.