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 301–325 of 547 papers

Title	Date	Tasks	Status	Hype
ExMo: Explainable AI Model using Inverse Frequency Decision Rules	May 20, 2022	Fraud DetectionInterpretable Machine Learning	—Unverified	0
Reconstruction Enhanced Multi-View Contrastive Learning for Anomaly Detection on Attributed Networks	May 10, 2022	Anomaly DetectionAttribute	—Unverified	0
On some studies of Fraud Detection Pipeline and related issues from the scope of Ensemble Learning and Graph-based Learning	May 10, 2022	Ensemble LearningFraud Detection	—Unverified	0
Crypto Pump and Dump via Deep Learning Techniques	May 10, 2022	Deep LearningFraud Detection	CodeCode Available	1
Data+Shift: Supporting visual investigation of data distribution shifts by data scientists	Apr 29, 2022	BIG-bench Machine LearningFraud Detection	—Unverified	0
Modelling graph dynamics in fraud detection with "Attention"	Apr 22, 2022	Fraud DetectionGraph Neural Network	CodeCode Available	1
A Revealing Large-Scale Evaluation of Unsupervised Anomaly Detection Algorithms	Apr 21, 2022	Anomaly DetectionFraud Detection	CodeCode Available	1
Neurochaos Feature Transformation and Classification for Imbalanced Learning	Apr 20, 2022	ClassificationDecision Making	CodeCode Available	0
Prediction of motor insurance claims occurrence as an imbalanced machine learning problem	Apr 12, 2022	BIG-bench Machine LearningFraud Detection	—Unverified	0
The Importance of Future Information in Credit Card Fraud Detection	Apr 11, 2022	Fraud Detection	—Unverified	0
Supervised Graph Contrastive Learning for Few-shot Node Classification	Mar 29, 2022	ClassificationContrastive Learning	—Unverified	0
Graph similarity learning for change-point detection in dynamic networks	Mar 29, 2022	Change Point DetectionFraud Detection	CodeCode Available	0
Radial Autoencoders for Enhanced Anomaly Detection	Mar 29, 2022	Anomaly DetectionClassification	—Unverified	0
Distributed data analytics	Mar 26, 2022	Cloud ComputingFraud Detection	—Unverified	0
Ethereum Fraud Detection with Heterogeneous Graph Neural Networks	Mar 23, 2022	Fraud DetectionGraph Neural Network	—Unverified	0
Multiple Inputs Neural Networks for Medicare fraud Detection	Mar 11, 2022	Anomaly DetectionFraud Detection	—Unverified	0
Abuse and Fraud Detection in Streaming Services Using Heuristic-Aware Machine Learning	Mar 4, 2022	Abuse DetectionAnomaly Detection	—Unverified	0
Trustworthy Anomaly Detection: A Survey	Feb 15, 2022	Anomaly DetectionFairness	—Unverified	0
Improved Aggregating and Accelerating Training Methods for Spatial Graph Neural Networks on Fraud Detection	Feb 14, 2022	Fraud DetectionIncremental Learning	—Unverified	0
Improving Fraud Detection via Hierarchical Attention-based Graph Neural Network	Feb 12, 2022	Fraud DetectionGraph Neural Network	—Unverified	0
A new perspective on classification: optimally allocating limited resources to uncertain tasks	Feb 9, 2022	Fraud DetectionLearning-To-Rank	—Unverified	0
FinGAN: Generative Adversarial Network for Analytical Customer Relationship Management in Banking and Insurance	Jan 27, 2022	Fraud DetectionGenerative Adversarial Network	—Unverified	0
Knowledge Sharing via Domain Adaptation in Customs Fraud Detection	Jan 18, 2022	Domain AdaptationFraud Detection	—Unverified	0
Modeling Users' Behavior Sequences with Hierarchical Explainable Network for Cross-domain Fraud Detection	Jan 4, 2022	Fraud Detection	—Unverified	0
Anomaly Detection using Capsule Networks for High-dimensional Datasets	Dec 27, 2021	Anomaly DetectionBinary Classification	—Unverified	0

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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