Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-10T15:39:39.923840Z
Paper Citation Record · LEDGER
Graph-Based Fraud Detection with Dual-Path Graph Filtering
As of 4 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2604.14235.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+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
Reference resolution
51 of 51 outbound references displayed
- verified exact0
- verified fuzzy47
- unresolved4
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 85db6e31-41da-463c-8206-d0511c9650d4 · outbound
This paper cites Financialfraud:Aliteraturereview.
Graph-Based Fraud Detection with Dual-Path Graph Filtering Financialfraud:Aliteraturereview
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:25:09.674910Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation d596f53f-e708-412e-9964-e49321611035 · outbound
This paper cites Graph neural networks for financial fraud detection: A review.Frontiers of Computer Science, 19(9):199609.
Graph-Based Fraud Detection with Dual-Path Graph Filtering Graph neural networks for financial fraud detection: A review.Frontiers of Computer Science, 19(9):199609
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:25:09.694724Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation e27bc446-5529-4bd9-88f7-164976d86144 · outbound
This paper cites Financial fraud detection using graph neural networks: A systematic review.Expert Systems with Applications, 240:122156.
Graph-Based Fraud Detection with Dual-Path Graph Filtering Financial fraud detection using graph neural networks: A systematic review.Expert Systems with Applications, 240:122156
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:25:09.677839Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 36bee719-5b31-4dca-aaa9-3947168e55b4 · outbound
This paper cites Bolton and David J.
Graph-Based Fraud Detection with Dual-Path Graph Filtering Bolton and David J
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:25:09.683155Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation c4130036-5560-42f0-8046-8e9d71e44a80 · outbound
This paper cites Financial fraud detection through the application of machine learning techniques: a literature review.
Graph-Based Fraud Detection with Dual-Path Graph Filtering Financial fraud detection through the application of machine learning techniques: a literature review
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:25:09.688995Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 7cd20411-9049-4f7b-87e7-8d24c9937046 · outbound
This paper cites Internet financial fraud detection based on graph learning.
Graph-Based Fraud Detection with Dual-Path Graph Filtering Internet financial fraud detection based on graph learning
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:25:09.685865Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation e32295be-3d23-4014-bec2-91366c2b4e77 · outbound
This paper cites an unresolved cited work.
Graph-Based Fraud Detection with Dual-Path Graph Filtering Unresolved cited work
Reference 7
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T19:25:09.680534Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 98b607b4-5184-4db3-8b0f-10c4f38f0170 · outbound
This paper cites an unresolved cited work.
Graph-Based Fraud Detection with Dual-Path Graph Filtering Unresolved cited work
Reference 8
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T19:25:09.691775Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 0f3cb8b5-02ff-48d9-9f37-6282945517e6 · outbound
This paper cites ASA- GNN: Adaptive sampling and aggregation-based graph neural net- work for transaction fraud detection.IEEE Transactions on Compu- tational Social Systems, 11(3):3536–3549.
Graph-Based Fraud Detection with Dual-Path Graph Filtering ASA- GNN: Adaptive sampling and aggregation-based graph neural net- work for transaction fraud detection.IEEE Transactions on Compu- tational Social Systems, 11(3):3536–3549
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:25:09.567007Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation b9868418-8872-4271-9c78-67859c6462d6 · outbound
This paper cites Global confidence degree based graph neural network for financial fraud detection.Artificial Intelligence and Autonomous Systems, 2(1).
Graph-Based Fraud Detection with Dual-Path Graph Filtering Global confidence degree based graph neural network for financial fraud detection.Artificial Intelligence and Autonomous Systems, 2(1)
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:25:09.569930Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation d1114985-0887-46d6-9616-bc04a54f64f1 · outbound
This paper cites Graph neural network for fraud detection via context encoding and adaptiveaggregation.ExpertSystemswithApplications,261:125473.
Graph-Based Fraud Detection with Dual-Path Graph Filtering Graph neural network for fraud detection via context encoding and adaptiveaggregation.ExpertSystemswithApplications,261:125473
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:25:09.575429Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 5aba710a-e5cb-4995-8958-ff5d8f63c1d9 · outbound
This paper cites How powerful are spectral graph neural networks.
Graph-Based Fraud Detection with Dual-Path Graph Filtering How powerful are spectral graph neural networks
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:25:09.578303Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation d821bbc7-1350-420e-b2bf-bc58c8bb1f44 · outbound
This paper cites Intelligent financial fraud detection practices in the post-pandemic era.The Innovation, 2(4):100176.
Graph-Based Fraud Detection with Dual-Path Graph Filtering Intelligent financial fraud detection practices in the post-pandemic era.The Innovation, 2(4):100176
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:25:09.583948Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation eb293c33-854a-440a-8e64-19ff5833725e · outbound
This paper cites Reducing false positives in bank anti-fraud systems based on rule induction in distributed tree- based models.Computers & Security, 120:102786.
Graph-Based Fraud Detection with Dual-Path Graph Filtering Reducing false positives in bank anti-fraud systems based on rule induction in distributed tree- based models.Computers & Security, 120:102786
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:25:09.560973Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 404df896-e462-4362-b12f-e3bda8bf588a · outbound
This paper cites RIFF:Inducingrulesforfrauddetectionfromdecision trees.
Graph-Based Fraud Detection with Dual-Path Graph Filtering RIFF:Inducingrulesforfrauddetectionfromdecision trees
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:25:09.586450Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 7cbbd346-369c-420c-9983-300f12eb924c · outbound
This paper cites Enhanc- ing banking fraud detection: Role of machine learning and deep learning methods.Premier Journal of Artificial Intelligence, 1(1).
Graph-Based Fraud Detection with Dual-Path Graph Filtering Enhanc- ing banking fraud detection: Role of machine learning and deep learning methods.Premier Journal of Artificial Intelligence, 1(1)
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:25:09.563944Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 4d583957-35a4-4eda-a0d9-8f0ed2e28cd0 · outbound
This paper cites Foe for fraud: Transferable adversarial attacks in creditcardfrauddetection.
Graph-Based Fraud Detection with Dual-Path Graph Filtering Foe for fraud: Transferable adversarial attacks in creditcardfrauddetection
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:25:09.581222Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 7fb93d97-2292-429e-94ae-3eacf3cff5ff · outbound
This paper cites Detection of fraudulent financial statements based on naïve bayes classifier.
Graph-Based Fraud Detection with Dual-Path Graph Filtering Detection of fraudulent financial statements based on naïve bayes classifier
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:25:09.555205Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 6bfd5f87-c4f2-40da-93cb-8692db7d6cc2 · outbound
This paper cites Şahin and Ekrem Duman.
Graph-Based Fraud Detection with Dual-Path Graph Filtering Şahin and Ekrem Duman
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:25:09.572509Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 1bbeffcd-ede7-4976-b6e8-0fee605226f8 · outbound
This paper cites Financial fraud detection model: Based on random forest.
Graph-Based Fraud Detection with Dual-Path Graph Filtering Financial fraud detection model: Based on random forest
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:25:09.658777Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation afbfb68b-4c12-41bd-a6f0-c81415c4c19d · outbound
This paper cites Bankfrauddetection usingsupportvectormachine.
Graph-Based Fraud Detection with Dual-Path Graph Filtering Bankfrauddetection usingsupportvectormachine
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:25:09.661363Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 9b47cc24-f769-44cf-a906-3082f5342595 · outbound
This paper cites an unresolved cited work.
Graph-Based Fraud Detection with Dual-Path Graph Filtering Unresolved cited work
Reference 22
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T19:25:09.664045Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 6a7cb58e-59f1-4fde-8157-bcbfdb095341 · outbound
This paper cites End-to-end neural network architecture for fraud scoring in card payments.Pattern Recognition Letters, 105:175–181.
Graph-Based Fraud Detection with Dual-Path Graph Filtering End-to-end neural network architecture for fraud scoring in card payments.Pattern Recognition Letters, 105:175–181
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:25:09.656063Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 85dada6e-7f31-45c9-89e4-98bae6c3e82a · outbound
This paper cites Credit card fraud detectionusingconvolutionalneuralnetworks.
Graph-Based Fraud Detection with Dual-Path Graph Filtering Credit card fraud detectionusingconvolutionalneuralnetworks
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:25:09.650021Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 1cb04bc3-2ba4-42bd-a7f6-fe7674de275d · outbound
This paper cites Amodelbasedonconvolutionalneuralnetworkforonline transaction fraud detection.Security and Communication Networks, 2018(1):5680264.
Graph-Based Fraud Detection with Dual-Path Graph Filtering Amodelbasedonconvolutionalneuralnetworkforonline transaction fraud detection.Security and Communication Networks, 2018(1):5680264
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:25:09.653050Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 59c77b15-5a89-4bdd-be63-3c782dbf78b0 · outbound
This paper cites an unresolved cited work.
Graph-Based Fraud Detection with Dual-Path Graph Filtering Unresolved cited work
Reference 26
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T19:25:09.666951Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 6262f3cb-8781-48c8-a1e8-2b43e5d159ca · outbound
This paper cites Research on financial fraud detection based on deep graph neural network.
Graph-Based Fraud Detection with Dual-Path Graph Filtering Research on financial fraud detection based on deep graph neural network
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:25:09.672357Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 61ac89af-6259-49a8-be77-ced0a32d92ca · outbound
This paper cites Fraud detection based on graph neural networks with self-attention.
Graph-Based Fraud Detection with Dual-Path Graph Filtering Fraud detection based on graph neural networks with self-attention
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:25:09.647115Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation aec74961-b970-48d7-8516-34f28faf8349 · outbound
This paper cites BernNet: Learning arbitrary graph spectral filters via bernstein approxima- tion.AdvancesinNeuralInformationProcessingSystems,34:14239– 14251.
Graph-Based Fraud Detection with Dual-Path Graph Filtering BernNet: Learning arbitrary graph spectral filters via bernstein approxima- tion.AdvancesinNeuralInformationProcessingSystems,34:14239– 14251
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:25:09.644231Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 8489968a-5fba-4766-bc78-690a7cf3dff0 · outbound
This paper cites Specformer: Spectral graph neural networks meet transformers.
Graph-Based Fraud Detection with Dual-Path Graph Filtering Specformer: Spectral graph neural networks meet transformers
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:25:09.641203Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 9be40382-175f-46df-b7e9-4d6333dc86d7 · outbound
This paper cites Rethinking graph neural networks for anomaly detection.
Graph-Based Fraud Detection with Dual-Path Graph Filtering Rethinking graph neural networks for anomaly detection
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:25:09.633037Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 21e9c934-a0b8-46ff-bd17-15411214b52a · outbound
This paper cites American Mathematical Soc.
Graph-Based Fraud Detection with Dual-Path Graph Filtering American Mathematical Soc
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:25:09.627360Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation ec9fd249-5375-4c76-a675-6172ede9f61f · outbound
This paper cites Beta distri- butions.Continuous Univariate Distributions, 2:210–275.
Graph-Based Fraud Detection with Dual-Path Graph Filtering Beta distri- butions.Continuous Univariate Distributions, 2:210–275
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:25:09.630217Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 549db908-66c0-48f1-a521-d7391e41dcfc · outbound
This paper cites Spamreview detection with graph convolutional networks.
Graph-Based Fraud Detection with Dual-Path Graph Filtering Spamreview detection with graph convolutional networks
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:25:09.621533Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 2dfb7725-3c05-45d1-be17-4de7724233fe · outbound
This paper cites A uni- versal adaptive algorithm for graph anomaly detection.Information Processing & Management, 62(1):103905.
Graph-Based Fraud Detection with Dual-Path Graph Filtering A uni- versal adaptive algorithm for graph anomaly detection.Information Processing & Management, 62(1):103905
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:25:09.624197Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 80bf1536-a500-42ea-b9e2-2fe30e924adc · outbound
This paper cites Deep learning.
Graph-Based Fraud Detection with Dual-Path Graph Filtering Deep learning
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:25:09.635653Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation d1dda12b-9fd0-4e3d-a35c-c0ddc62043c6 · outbound
This paper cites Gadbench: Revisiting and benchmarking supervised graph anomaly detection.
Graph-Based Fraud Detection with Dual-Path Graph Filtering Gadbench: Revisiting and benchmarking supervised graph anomaly detection
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:25:09.638518Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation d667ade3-6c31-4da4-9a99-e61001e52808 · outbound
This paper cites XGBoost:Ascalabletreeboosting system.
Graph-Based Fraud Detection with Dual-Path Graph Filtering XGBoost:Ascalabletreeboosting system
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:25:09.669569Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation bf43dc25-2070-4732-a251-6579d79f38a3 · outbound
This paper cites Stone.Classification and Regression Trees.
Graph-Based Fraud Detection with Dual-Path Graph Filtering Stone.Classification and Regression Trees
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:25:09.616298Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 765bad30-fe3f-4ed5-a161-6ba00edced76 · outbound
This paper cites SplitGNN: Spectral graph neural network for fraud detection against heterophily.
Graph-Based Fraud Detection with Dual-Path Graph Filtering SplitGNN: Spectral graph neural network for fraud detection against heterophily
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:25:09.613511Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation b8f7d55a-341a-4b0d-8017-4f4dfdef6f8a · outbound
This paper cites Semi-supervised credit card fraud detection via attribute-driven graph representation.
Graph-Based Fraud Detection with Dual-Path Graph Filtering Semi-supervised credit card fraud detection via attribute-driven graph representation
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:25:09.610754Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 57c4dbac-9d37-4aaf-bd46-fb1ab3187662 · outbound
This paper cites Leiserson.
Graph-Based Fraud Detection with Dual-Path Graph Filtering Leiserson
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:25:09.618905Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 8ee16722-aaeb-43bb-bb6b-d2e102cec73d · outbound
This paper cites DGraph: A large-scale financial dataset for graph anomaly detection.
Graph-Based Fraud Detection with Dual-Path Graph Filtering DGraph: A large-scale financial dataset for graph anomaly detection
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:25:09.604499Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation f312239b-67c7-4a27-ba42-fca8f2438bfc · outbound
This paper cites Kipf and Max Welling.
Graph-Based Fraud Detection with Dual-Path Graph Filtering Kipf and Max Welling
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:25:09.607806Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 6dcd45da-ff01-4033-b914-d775ed3d6e61 · outbound
This paper cites Hamilton, Rex Ying, and Jure Leskovec.
Graph-Based Fraud Detection with Dual-Path Graph Filtering Hamilton, Rex Ying, and Jure Leskovec
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:25:09.552366Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation ec667d40-fec1-40e2-b183-05be219086bf · outbound
This paper cites Graph attention networks.
Graph-Based Fraud Detection with Dual-Path Graph Filtering Graph attention networks
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:25:09.595876Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation a96d705f-c2c7-4cfb-bfc1-d9c5f96c6d6b · outbound
This paper cites Pick and choose: a gnn-based imbalanced learning approach for fraud detection.
Graph-Based Fraud Detection with Dual-Path Graph Filtering Pick and choose: a gnn-based imbalanced learning approach for fraud detection
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:25:09.598876Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation dbe1cbeb-e814-4445-b829-f47a0682b85d · outbound
This paper cites Partitioning message passing for graph fraud detection.
Graph-Based Fraud Detection with Dual-Path Graph Filtering Partitioning message passing for graph fraud detection
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:25:09.557961Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 01ee17fe-10c3-43f7-95fb-092cf3ccc916 · outbound
This paper cites Can abnormality be detected by graph neural networks? InThe 31st International Joint Conference on Artificial Intelligence, pages 1945–1951.
Graph-Based Fraud Detection with Dual-Path Graph Filtering Can abnormality be detected by graph neural networks? InThe 31st International Joint Conference on Artificial Intelligence, pages 1945–1951
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:25:09.601857Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 13ad8797-d00d-439a-a4d2-89cb255e93bf · outbound
This paper cites Deep graph library: A graph-centric, highly-performant package for graph neural networks.
Graph-Based Fraud Detection with Dual-Path Graph Filtering Deep graph library: A graph-centric, highly-performant package for graph neural networks
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:25:09.589213Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation b55af104-a21a-44ae-ab28-f2dbe88d13e6 · outbound
This paper cites UMAP: Uniform manifold approximation and projection.Journal of Open Source Software, 3(29):861.
Graph-Based Fraud Detection with Dual-Path Graph Filtering UMAP: Uniform manifold approximation and projection.Journal of Open Source Software, 3(29):861
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T19:25:09.592137Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Pith citing papers
No inbound Pith citation observations are available.