Graph-based Fraud Detection Papers and Resources

A curated list of fraud detection papers using graph information or graph neural networks

Table of Content

GNN Papers: 2021 | 2020 | Before 2020
Non-GNN Papers since 2014
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Dataset
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GNN Papers

2021

Year	Title	Venue	Paper	Code
2021	GCCAD: Graph Contrastive Coding for Anomaly Detection	arXiv 2021	Link	Link
2021	Recurrent Graph Neural Networks for Rumor Detection in Online Forums	KDD 2021 Workshop	Link	Link
2021	Heterogeneous Temporal Graph Transformer: An Intelligent System for Evolving Android Malware Detection	KDD 2021	Link	Link
2021	Intention-aware Heterogeneous Graph Attention Networks for Fraud Transactions Detection	KDD 2021	Link	Link
2021	Live-Streaming Fraud Detection: A Heterogeneous Graph Neural Network Approach	KDD 2021	Link	Link
2021	Bipartite Dynamic Representations for Abuse Detection	KDD 2021	Link	Link
2021	Relational Graph Neural Networks for Fraud Detection in a Super-App environment	KDD 2021 Workshop	Link	Link
2021	Compare to The Knowledge: Graph Neural Fake News Detection with External Knowledge	ACL 2021	Link	Link
2021	Towards Propagation Uncertainty: Edge-enhanced Bayesian Graph Convolutional Networks for Rumor Detection	ACL 2021	Link	Link
2021	Catch me if you can: A participant-level rumor detection framework via fine-grained user representation learning	Information Processing & Management	Link	Link
2021	Decoupling Representation Learning and Classification for GNN-based Anomaly Detection	SIGIR 2021	Link	Link
2021	Improving fake news detection with domain-adversarial and graph-attention neural network	Decision Support Systems	Link	Link
2021	Anomaly Detection in Dynamic Graphs via Transformer	arXiv 2021	Link	Link
2021	HIN-RNN: A Graph Representation Learning Neural Network for Fraudster Group Detection With No Handcrafted Features	arXiv 2021	Link	Link
2021	Fraud Detection in Online Product Review Systems via Heterogeneous Graph Transformer	IEEE Access	Link	Link
2021	User Preference-aware Fake News Detection	SIGIR 2021	Link	Link
2021	Temporal-Aware Graph Neural Network for Credit Risk Prediction	SDM 2021	Link	Link
2021	Improving Cyberbullying Detection with User Interaction	WWW 2021	Link	Link
2021	Pick and Choose: A GNN-based Imbalanced Learning Approach for Fraud Detection	WWW 2021	Link	Link
2021	Credit Risk and Limits Forecasting in E-Commerce Consumer Lending Service via Multi-view-aware Mixture-of-experts Nets	WSDM 2021	Link	Link
2021	DeepIS: Susceptibility Estimation on Social Networks	WSDM 2021	Link	Link
2021	Few-shot Network Anomaly Detection via Cross-network Meta-learning	WWW 2021	Link	Link
2021	Towards Consumer Loan Fraud Detection: Graph Neural Networks with Role-Constrained Conditional Random Field	AAAI 2021	Link	Link

2020

Year	Title	Venue	Paper	Code
2020	Suspicious Massive Registration Detection via Dynamic Heterogeneous Graph Neural Networks	AAAI 2021 Workshop	Link	Link
2020	APAN: Asynchronous Propagation Attention Network for Real-time Temporal Graph Embedding	arXiv	Link	Link
2020	Anomaly Detection on Dynamic Bipartite Graph with Burstiness	ICDM 2020	Link	Link
2020	Metagraph Aggregated Heterogeneous Graph Neural Network for Illicit Traded Product Identification in Underground Market	ICDM 2020	Link	Link
2020	Adversarial Active Learning based Heterogeneous Graph Neural Network for Fake News Detection	ICDM 2020	Link	Link
2020	Heterogeneous Mini-Graph Neural Network and Its Application to Fraud Invitation Detection	ICDM 2020	Link	Link
2020	xFraud: Explainable Fraud Transaction Detection on Heterogeneous Graphs	arXiv	Link	Link
2020	BotSpot: A Hybrid Learning Framework to Uncover Bot Install Fraud in Mobile Advertising	CIKM 2020	Link	Link
2020	Alike and Unlike: Resolving Class Imbalance Problem in Financial Credit Risk Assessment	CIKM 2020	Link	Link
2020	Early Anomaly Detection by Learning and Forecasting Behavior	arXiv	Link	Link
2020	ResGCN: Attention-based Deep Residual Modeling for Anomaly Detection on Attributed Networks	arXiv	Link	Link
2020	Multivariate Time-series Anomaly Detection via Graph Attention Network	ICDM 2020	Link	Link
2020	GFD: A Weighted Heterogeneous Graph Embedding Based Approach for Fraud Detection in Mobile Advertising	Security and Communication Networks	Link	Link
2020	Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters	CIKM 2020	Link	Link
2020	Graph-based Modeling of Online Communities for Fake News Detection	arXiv	Link	Link
2020	FANG: Leveraging Social Context for Fake News Detection Using Graph Representation	CIKM 2020	Link	Link
2020	Loan Default Analysis with Multiplex Graph Learning	CIKM 2020	Link	Link
2020	Error-Bounded Graph Anomaly Loss for GNNs	CIKM 2020	Link	Link
2020	GCNEXT: graph convolutional network with expanded balance theory for fraudulent user detection	Social Network Analysis and Mining	Link	Link
2020	FauxWard: a graph neural network approach to fauxtography detection using social media comments	Social Network Analysis and Mining	Link	Link
2020	A Scalable Framework for Group Fraud Detection in Transaction using Deep Graph Neural Network	MLF@KDD 2020	Link	Link
2020	Early Fraud Detection with Augmented Graph Learning	DLG@KDD 2020	Link	Link
2020	TIES: Temporal Interaction Embeddings For Enhancing Social Media Integrity At Facebook	KDD 2020	Link	Link
2020	DETERRENT: Knowledge Guided Graph Attention Network for Detecting Healthcare Misinformation	KDD 2020	Link	Link
2020	Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection	SIGIR 2020	Link	Link
2020	GCAN: Graph-aware Co-Attention Networks for Explainable Fake News Detection on Social Media	ACL 2020	Link	Link
2020	Camouflaged Chinese Spam Content Detection with Semi-supervised Generative Active Learning	ACL 2020	Link	Link
2020	DFraud3-Multi-Component Fraud Detection free of Cold-start	arXiv	Link	Link
2020	Financial Risk Analysis for SMEs with Graph-based Supply Chain Mining	IJCAI 2020	Link	Link
2020	Rumor Detection on Social Media with Graph Structured Adversarial Learning	IJCAI 2020	Link	Link
2020	GCN-Based User Representation Learning for Unifying Robust Recommendation and Fraudster Detection	SIGIR 2020	Link	Link
2020	ASA: Adversary Situation Awareness via Heterogeneous Graph Convolutional Networks	WWW 2020 Workshop	Link	Link
2020	Graph Convolutional Networks with Markov Random Field Reasoning for Social Spammer Detection	AAAI 2020	Link	Link
2020	Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks	AAAI 2020	Link	Link

Before 2020

Year	Title	Venue	Paper	Code
2019	A Semi-supervised Graph Attentive Network for Fraud Detection	ICDM 2019	Link	Link
2019	Detect Camouflaged Spam Content via StoneSkipping: Graph and Text Joint Embedding for Chinese Character Variation Representation	EMNLP 2019	Link	Link
2019	Key Player Identification in Underground Forums over Attributed Heterogeneous Information Network Embedding Framework	CIKM 2019	Link	Link
2019	Spam Review Detection with Graph Convolutional Networks	CIKM 2019	Link	Link
2019	Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensics	KDD 2019 Workshop	Link	Link
2019	Uncovering Insurance Fraud Conspiracy with Network Learning	SIGIR 2019	Link	Link
2019	Detect Me If You Can: Spam Bot Detection Using InductiveRepresentation Learning	WWW 2019 Workshop	Link	Link
2019	FdGars: Fraudster Detection via Graph Convolutional Networks in Online App Review System	WWW 2019 Workshop	Link	Link
2019	GeniePath: Graph Neural Networks with Adaptive Receptive Paths	AAAI 2019	Link	Link
2018	Heterogeneous Graph Neural Networks for Malicious Account Detection	CIKM 2018	Link	Link
2018	GraphRAD: A Graph-based Risky Account Detection System	MLG 2018	Link	Link

Non-GNN Papers since 2014

Year	Title	Venue	Paper	Code
2021	Unveiling Fake Accounts at the Time of Registration: An Unsupervised Approach	KDD 2021	Link	Link
2021	GuiltyWalker: Distance to illicit nodes in the Bitcoin network	KDD 2021 Workshop	Link	Link
2021	Deep Entity Classification: Abusive Account Detection for Online Social Networks	USENIX Security 2021	Link	Link
2021	EnsemFDet: An Ensemble Approach to Fraud Detection based on Bipartite Graph	ICDE 2021	Link	Link
2021	Network Inference from a Mixture of Diffusion Models for Fake News Mitigation	ICWSM 2021	Link	Link
2021	Uncovering Coordinated Networks on Social Media	ICWSM 2021	Link	Link
2021	F-FADE: Frequency Factorization for Anomaly Detection in Edge Streams	WSDM 2021	Link	Link
2020	AUTOAUDIT: Mining Accounting and Time-Evolving Graphs	IEEE BigData 2020	Link	Link
2020	SpecGreedy: Unified Dense Subgraph Detection	ECML-PKDD 2020	Link	Link
2020	Real-Time Streaming Anomaly Detection in Dynamic Graphs	arXiv	Link	Link
2020	Robust Spammer Detection by Nash Reinforcement Learning	KDD 2020	Link	Link
2020	KNH: Multi-View Modeling with K-Nearest Hyperplanes Graph for Misinformation Detection	TrueFact@KDD 2020	Link	Link
2020	Representing Fine-Grained Co-Occurrences for Behavior-Based Fraud Detection in Online Payment Services	IEEE TDSC 2020	Link	Link
2020	Collaboration Based Multi-Label Propagation for Fraud Detection	IJCAI 2020	Link	Link
2020	Hierarchical Propagation Networks for Fake News Detection: Investigation and Exploitation	ICWSM 2020	Link	Link
2020	Friend or Faux: Graph-Based Early Detection of Fake Accounts on Social Networks	WWW 2020	Link	Link
2020	Financial Defaulter Detection on Online Credit Payment via Multi-view Attributed Heterogeneous Information Network	WWW 2020	Link	Link
2020	MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams	AAAI 2020	Link	Link
2020	FlowScope: Spotting Money Laundering Based on Graphs	AAAI 2020	Link	Link
2019	A Dynamic Default Prediction Framework for Networked-guarantee Loans	CIKM 2019	Link	Link
2019	SliceNDice: Mining Suspicious Multi-attribute Entity Groups with Multi-view Graphs	DSAA 2019	Link	Link
2019	From Anomaly Detection to Rumour Detection using Data Streams of Social Platforms	VLDB 2019	Link	Link
2019	TitAnt: Online Real-time Transaction Fraud Detection in Ant Financial	VLDB 2019	Link	Link
2019	Spotting Collective Behaviour of Online Frauds in Customer Reviews	IJCAI 2019	Link	Link
2019	Cash-Out User Detection Based on Attributed Heterogeneous Information Network with a Hierarchical Attention Mechanism	AAAI 2019	Link	Link
2018	Deep Structure Learning for Fraud Detection	ICDM 2018	Link	Link
2018	FeatNet: Large-scale Fraud Device Detection by Network Representation Learning with Rich Features	AiSec 2018	Link	Link
2018	HGsuspector: Scalable Collective Fraud Detection in Heterogeneous Graphs	KDD 2018 Workshop	Link	Link
2018	Online E-Commerce Fraud: A Large-scale Detection and Analysis	ICDE 2018	Link	Link
2018	FraudNE: a Joint Embedding Approach for Fraud Detection	IJCNN 2018	Link	Link
2018	Combating Crowdsourced Review Manipulators: A Neighborhood-Based Approach	WSDM 2018	Link	Link
2018	REV2: Fraudulent User Prediction in Rating Platforms	WSDM 2018	Link	Link
2017	ZooBP: Belief Propagation for Heterogeneous Networks	VLDB 2017	Link	Link
2017	HitFraud: A Broad Learning Approach for Collective Fraud Detection in Heterogeneous Information Networks	ICDM 2017	Link	Link
2017	GANG: Detecting Fraudulent Users in Online Social Networks via Guilt-by-Association on Directed Graph	ICDM 2017	Link	Link
2017	The Many Faces of Link Fraud	ICDM 2017	Link	Link
2017	HoloScope: Topology-and-Spike Aware Fraud Detection	CIKM 2017	Link	Link
2017	iBGP: A Bipartite Graph Propagation Approach for Mobile Advertising Fraud Detection	Mobile Information Systems 2017	Link	Link
2017	Adaptive Spammer Detection with Sparse Group Modeling	ICWSM 2017	Link	Link
2017	NetSpam: A Network-Based Spam Detection Framework for Reviews in Online Social Media	IEEE TIFS	Link	Link
2016	FRAUDAR: Bounding Graph Fraud in the Face of Camouflage	KDD 2016	Link	Link
2015	AFRAID: Fraud detection via active inference in time-evolving social networks	ASONAM 2015	Link	Link
2015	Collective Opinion Spam Detection: Bridging Review Networks and Metadata	KDD 2015	Link	Link
2014	Spotting Suspicious Link Behavior with fBox: An Adversarial Perspective	ICDM 2014	Link	Link