safe-graph / graph-fraud-detection-papersLinks
A curated list of graph-based fraud, anomaly, and outlier detection papers & resources
☆1,659Updated 3 months ago
Alternatives and similar repositories for graph-fraud-detection-papers
Users that are interested in graph-fraud-detection-papers are comparing it to the libraries listed below
Sorting:
- A Deep Graph-based Toolbox for Fraud Detection☆736Updated 3 years ago
- A curated list of data mining papers about fraud detection.☆1,729Updated last year
- A Python Library for Graph Outlier Detection (Anomaly Detection)☆1,442Updated 9 months ago
- Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters☆280Updated 2 years ago
- A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X☆133Updated 3 years ago
- Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well…☆365Updated 2 years ago
- An Unsupervised Graph-based Toolbox for Fraud Detection☆131Updated 3 years ago
- A repository for financial fraud detection☆279Updated 2 months ago
- Deep and conventional community detection related papers, implementations, datasets, and tools.☆540Updated last year
- The AMLSim project is intended to provide a multi-agent based simulator that generates synthetic banking transaction data together with a…☆301Updated 3 months ago
- TGN: Temporal Graph Networks☆1,093Updated last year
- Heterogeneous Graph Neural Network☆1,161Updated 5 years ago
- This is an open-source toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL.☆931Updated 7 months ago
- A curated list of adversarial attacks and defenses papers on graph-structured data.☆861Updated last year
- A repository of pretty cool datasets that I collected for network science and machine learning research.☆639Updated last year
- PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.☆1,212Updated 5 months ago
- CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)☆1,794Updated last year
- Learning Fraud Detection from research papers and industry applications.☆129Updated 8 months ago
- gnn explainer☆992Updated last year
- Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).☆1,683Updated last year
- Materials for DGL hands-on tutorial in WWW 2020☆503Updated 4 years ago
- Archive of Temporal Knowledge Reasoning in Social Network and Knowledge Graph☆446Updated last year
- An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)☆1,043Updated 2 years ago
- Papers about explainability of GNNs☆752Updated 4 months ago
- Representation-Learning-on-Heterogeneous-Graph☆443Updated 5 years ago
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric☆859Updated last year
- Implementation of the node2vec algorithm.☆1,277Updated last year
- code of HetGNN☆413Updated 5 years ago
- Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.☆830Updated 2 years ago
- Python3 implementation of oddball☆36Updated last year