Fraud Detection

Fraud Detection is a vital topic that applies to many industries including the financial sectors, banking, government agencies, insurance, and law enforcement, and more. Fraud endeavors have detected a radical rise in current years, creating this topic more critical than ever. Despite struggles on the part of the troubled organizations, hundreds of millions of dollars are wasted to fraud each year. Because nearly a few samples confirm fraud in a vast community, locating these can be complex. Data mining and statistics help to predict and immediately distinguish fraud and take immediate action to minimize costs.

Source: Applying support vector data description for fraud detection

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 1–25 of 547 papers

Title	Date	Tasks	Status	Hype	Score
Build a Deep Neural Network model using CPUs Builds a feed-forward multilayer artificial neural network on an H2OFrame	Sep 1, 2015	Fraud Detection	CodeCode Available	3	5
Grad: Guided Relation Diffusion Generation for Graph Augmentation in Graph Fraud Detection	Apr 22, 2025	Contrastive LearningFraud Detection	CodeCode Available	3	5
Semi-supervised Credit Card Fraud Detection via Attribute-Driven Graph Representation	Dec 24, 2024	AttributeFraud Detection	CodeCode Available	3	5
A Survey on Diffusion Models for Anomaly Detection	Jan 20, 2025	Anomaly DetectionComputational Efficiency	CodeCode Available	2	5
AD-AGENT: A Multi-agent Framework for End-to-end Anomaly Detection	May 19, 2025	Anomaly DetectionCode Generation	CodeCode Available	2	5
Fraud Dataset Benchmark and Applications	Aug 30, 2022	AutoMLFeature Engineering	CodeCode Available	2	5
SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training	Jun 2, 2021	Deep LearningFraud Detection	CodeCode Available	2	5
TeleAntiFraud-28k: An Audio-Text Slow-Thinking Dataset for Telecom Fraud Detection	Mar 31, 2025	Fraud DetectionLarge Language Model	CodeCode Available	2	5
Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML Evaluation	Nov 24, 2022	FairnessFraud Detection	CodeCode Available	2	5
EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks	Aug 11, 2021	Decision MakingFraud Detection	CodeCode Available	1	5
DPPIN: A Biological Repository of Dynamic Protein-Protein Interaction Network Data	Jul 5, 2021	AttributeDrug Discovery	CodeCode Available	1	5
DocXPand-25k: a large and diverse benchmark dataset for identity documents analysis	Jul 30, 2024	Fraud DetectionTAG	CodeCode Available	1	5
Dynamic Relation-Attentive Graph Neural Networks for Fraud Detection	Oct 6, 2023	Fraud DetectionGraph Attention	CodeCode Available	1	5
EasyDGL: Encode, Train and Interpret for Continuous-time Dynamic Graph Learning	Mar 22, 2023	Dynamic Link PredictionDynamic Node Classification	CodeCode Available	1	5
Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters	Aug 19, 2020	Anomaly DetectionFraud Detection	CodeCode Available	1	5
Customs Fraud Detection in the Presence of Concept Drift	Sep 29, 2021	Fraud Detection	CodeCode Available	1	5
ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection	Dec 22, 2023	Anomaly DetectionFraud Detection	CodeCode Available	1	5
EDINET-Bench: Evaluating LLMs on Complex Financial Tasks using Japanese Financial Statements	Jun 10, 2025	Binary ClassificationFinancial Analysis	CodeCode Available	1	5
Customs Import Declaration Datasets	Aug 4, 2022	Fraud DetectionManagement	CodeCode Available	1	5
Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection	May 1, 2020	Fraud DetectionGraph Neural Network	CodeCode Available	1	5
Credit Card Fraud Detection Using Convolutional Neural Networks	Oct 16, 2016	Fraud Detection	CodeCode Available	1	5
Crypto Pump and Dump via Deep Learning Techniques	May 10, 2022	Deep LearningFraud Detection	CodeCode Available	1	5
BERT4ETH: A Pre-trained Transformer for Ethereum Fraud Detection	Mar 29, 2023	Fraud Detection	CodeCode Available	1	5
Demystifying Fraudulent Transactions and Illicit Nodes in the Bitcoin Network for Financial Forensics	May 25, 2023	Anomaly DetectionFraud Detection	CodeCode Available	1	5
Continuous-variable quantum neural networks	Jun 18, 2018	Fraud Detection	CodeCode Available	1	5

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All datasets BAF – Base Yelp-Fraud Amazon-Fraud Elliptic Dataset Healthcare Provider Fraud Detection Analysis Kaggle-Credit Card Fraud Dataset BAF – Variant I BAF – Variant II BAF – Variant III BAF – Variant IV BAF – Variant V FDCompCN

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	LightGBM	Recall @ 5% FPR	54.3	—	Unverified
2	CatBoost	Recall @ 5% FPR	52.4	—	Unverified
3	LightGBM	Recall @ 5% FPR	51.76	—	Unverified
4	1D-CSNN	Recall @ 5% FPR	50.35	—	Unverified
5	MLP–NN	Recall @ 5% FPR	49.6	—	Unverified
6	1D-CSNN	Recall @ 5% FPR	42.79	—	Unverified
7	LightGBM	Recall @ 1% FPR	25.2	—	Unverified
8	FIGS	Recall @ 1% FPR	21	—	Unverified
9	CART+RIFF	Recall @ 1% FPR	18.4	—	Unverified
10	CART	Recall @ 1% FPR	16	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	LEX-GNN	AUC-ROC	96.4	—	Unverified
2	JA-GNN	AUC-ROC	95.11	—	Unverified
3	GTAN	AUC-ROC	94.98	—	Unverified
4	BOLT-GRAPH	AUC-ROC	93.18	—	Unverified
5	SplitGNN	AUC-ROC	92.03	—	Unverified
6	GAT+JK	AUC-ROC	90.04	—	Unverified
7	RLC-GNN	AUC-ROC	85.44	—	Unverified
8	RioGNN	AUC-ROC	83.54	—	Unverified
9	PC-GNN	AUC-ROC	79.87	—	Unverified
10	CARE-GNN	AUC-ROC	75.7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	LEX-GNN	AUC-ROC	97.91	—	Unverified
2	GTAN	AUC-ROC	97.5	—	Unverified
3	RLC-GNN	AUC-ROC	97.48	—	Unverified
4	RioGNN	AUC-ROC	96.19	—	Unverified
5	PC-GNN	AUC-ROC	95.86	—	Unverified
6	CARE-GNN	AUC-ROC	89.73	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GCN	AUC	0.83	—	Unverified
2	GraphSAGE	AUC	0.83	—	Unverified
3	GAT	AUC	0.81	—	Unverified
4	GIN	AUC	0.81	—	Unverified
5	Node2vec	AUC	0.53	—	Unverified
6	Deepwalk	AUC	0.45	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	BiRank	AUC	0.79	—	Unverified
2	GraphSAGE	AUC	0.67	—	Unverified
3	metapath2vec	AUC	0.51	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	XBNET	Accuracy	71.33	—	Unverified
2	DevNet	AUC	0.98	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	1D-CSNN	Recall @ 5% FPR	40.71	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	1D-CSNN	Recall @ 5% FPR	47.08	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	1D-CSNN	Recall @ 5% FPR	41.83	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	1D-CSNN	Recall @ 5% FPR	35.54	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	1D-CSNN	Recall @ 5% FPR	34.96	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SplitGNN	AUC-ROC	68.98	—	Unverified