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
Grad: Guided Relation Diffusion Generation for Graph Augmentation in Graph Fraud Detection	Apr 22, 2025	Contrastive LearningFraud Detection	CodeCode Available	3
Semi-supervised Credit Card Fraud Detection via Attribute-Driven Graph Representation	Dec 24, 2024	AttributeFraud Detection	CodeCode Available	3
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
AD-AGENT: A Multi-agent Framework for End-to-end Anomaly Detection	May 19, 2025	Anomaly DetectionCode Generation	CodeCode Available	2
TeleAntiFraud-28k: An Audio-Text Slow-Thinking Dataset for Telecom Fraud Detection	Mar 31, 2025	Fraud DetectionLarge Language Model	CodeCode Available	2
A Survey on Diffusion Models for Anomaly Detection	Jan 20, 2025	Anomaly DetectionComputational Efficiency	CodeCode Available	2
Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML Evaluation	Nov 24, 2022	FairnessFraud Detection	CodeCode Available	2
Fraud Dataset Benchmark and Applications	Aug 30, 2022	AutoMLFeature Engineering	CodeCode Available	2
SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training	Jun 2, 2021	Deep LearningFraud Detection	CodeCode Available	2
EDINET-Bench: Evaluating LLMs on Complex Financial Tasks using Japanese Financial Statements	Jun 10, 2025	Binary ClassificationFinancial Analysis	CodeCode Available	1
FeatInsight: An Online ML Feature Management System on 4Paradigm Sage-Studio Platform	Apr 1, 2025	Fraud DetectionManagement	CodeCode Available	1
A Label-Free Heterophily-Guided Approach for Unsupervised Graph Fraud Detection	Feb 18, 2025	Fraud Detection	CodeCode Available	1
Fraud-R1 : A Multi-Round Benchmark for Assessing the Robustness of LLM Against Augmented Fraud and Phishing Inducements	Feb 18, 2025	Decision MakingFraud Detection	CodeCode Available	1
Unveiling the Threat of Fraud Gangs to Graph Neural Networks: Multi-Target Graph Injection Attacks Against GNN-Based Fraud Detectors	Dec 24, 2024	Fraud Detection	CodeCode Available	1
AD-LLM: Benchmarking Large Language Models for Anomaly Detection	Dec 15, 2024	Anomaly DetectionBenchmarking	CodeCode Available	1
NLP-ADBench: NLP Anomaly Detection Benchmark	Dec 6, 2024	Anomaly DetectionFraud Detection	CodeCode Available	1
Training MLPs on Graphs without Supervision	Dec 5, 2024	Fraud DetectionGraph Classification	CodeCode Available	1
DocXPand-25k: a large and diverse benchmark dataset for identity documents analysis	Jul 30, 2024	Fraud DetectionTAG	CodeCode Available	1
Network Analytics for Anti-Money Laundering -- A Systematic Literature Review and Experimental Evaluation	May 29, 2024	Feature EngineeringFraud Detection	CodeCode Available	1
SimMLP: Training MLPs on Graphs without Supervision	Feb 14, 2024	Fraud DetectionGraph Classification	CodeCode Available	1
TASER: Temporal Adaptive Sampling for Fast and Accurate Dynamic Graph Representation Learning	Feb 8, 2024	DenoisingFraud Detection	CodeCode Available	1
ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection	Dec 22, 2023	Anomaly DetectionFraud Detection	CodeCode Available	1
FiFAR: A Fraud Detection Dataset for Learning to Defer	Dec 20, 2023	BenchmarkingDecision Making	CodeCode Available	1
Revisiting Graph-Based Fraud Detection in Sight of Heterophily and Spectrum	Dec 11, 2023	Binary ClassificationFraud Detection	CodeCode Available	1
NNG-Mix: Improving Semi-supervised Anomaly Detection with Pseudo-anomaly Generation	Nov 20, 2023	Anomaly DetectionData Augmentation	CodeCode Available	1

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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