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 451–475 of 547 papers

Title	Date	Tasks	Status
PyOD 2: A Python Library for Outlier Detection with LLM-powered Model Selection	Dec 11, 2024	Anomaly DetectionFraud Detection	—Unverified
QFNN-FFD: Quantum Federated Neural Network for Financial Fraud Detection	Apr 3, 2024	Federated LearningFraud Detection	—Unverified
Query Complexity of Active Learning for Function Family With Nearly Orthogonal Basis	Jun 6, 2023	Active LearningFraud Detection	—Unverified
Radial Autoencoders for Enhanced Anomaly Detection	Mar 29, 2022	Anomaly DetectionClassification	—Unverified
Reconstruction Enhanced Multi-View Contrastive Learning for Anomaly Detection on Attributed Networks	May 10, 2022	Anomaly DetectionAttribute	—Unverified
Redefining Finance: The Influence of Artificial Intelligence (AI) and Machine Learning (ML)	Oct 21, 2024	Fraud DetectionManagement	—Unverified
Relational Graph Neural Networks for Fraud Detection in a Super-App environment	Jul 29, 2021	Fraud Detection	—Unverified
RePAD: Real-time Proactive Anomaly Detection for Time Series	Jan 24, 2020	Anomaly DetectionFraud Detection	—Unverified
ResBuilder: Automated Learning of Depth with Residual Structures	Aug 16, 2023	Fraud Detectionimage-classification	—Unverified
Rethinking Contrastive Learning in Graph Anomaly Detection: A Clean-View Perspective	May 23, 2025	Anomaly DetectionContrastive Learning	—Unverified
Review of blockchain application with Graph Neural Networks, Graph Convolutional Networks and Convolutional Neural Networks	Oct 1, 2024	Fraud Detection	—Unverified
Review of Digital Asset Development with Graph Neural Network Unlearning	Sep 27, 2024	Fraud DetectionGraph Neural Network	—Unverified
RIFF: Inducing Rules for Fraud Detection from Decision Trees	Aug 23, 2024	Fraud Detection	—Unverified
RLC-GNN: An Improved Deep Architecture for Spatial-Based Graph Neural Network with Application to Fraud Detection	Jun 18, 2021	Fraud DetectionGraph Neural Network	—Unverified
RAGFormer: Learning Semantic Attributes and Topological Structure for Fraud Detection	Feb 27, 2024	Fraud DetectionRelation	CodeCode Available
Weight-of-evidence 2.0 with shrinkage and spline-binning	Jan 5, 2021	Decision MakingFraud Detection	CodeCode Available
GARG-AML against Smurfing: A Scalable and Interpretable Graph-Based Framework for Anti-Money Laundering	Jun 4, 2025	Computational EfficiencyFraud Detection	CodeCode Available
FPR Estimation for Fraud Detection in the Presence of Class-Conditional Label Noise	Aug 4, 2023	Binary ClassificationFraud Detection	CodeCode Available
Synthetic Demographic Data Generation for Card Fraud Detection Using GANs	Jun 29, 2023	Fraud DetectionGenerative Adversarial Network	CodeCode Available
Generating Multi-type Temporal Sequences to Mitigate Class-imbalanced Problem	Apr 7, 2021	BIG-bench Machine LearningClick-Through Rate Prediction	CodeCode Available
A Semi-supervised Graph Attentive Network for Financial Fraud Detection	Feb 28, 2020	Fraud DetectionGraph Neural Network	CodeCode Available
BOLT: An Automated Deep Learning Framework for Training and Deploying Large-Scale Search and Recommendation Models on Commodity CPU Hardware	Mar 30, 2023	CPUFraud Detection	CodeCode Available
Detecting organized eCommerce fraud using scalable categorical clustering	Oct 10, 2019	ClusteringFraud Detection	CodeCode Available
Pub-Guard-LLM: Detecting Fraudulent Biomedical Articles with Reliable Explanations	Feb 21, 2025	ArticlesFraud Detection	CodeCode Available
BigDL: A Distributed Deep Learning Framework for Big Data	Apr 16, 2018	Deep LearningFraud Detection	CodeCode Available

Show:10 25 50

← PrevPage 19 of 22Next →

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