safe-graph / DGFraudLinks
A Deep Graph-based Toolbox for Fraud Detection
☆731Updated 3 years ago
Alternatives and similar repositories for DGFraud
Users that are interested in DGFraud are comparing it to the libraries listed below
Sorting:
- A curated list of graph-based fraud, anomaly, and outlier detection papers & resources☆1,575Updated last week
- An Unsupervised Graph-based Toolbox for Fraud Detection☆130Updated 3 years ago
- Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters☆274Updated 2 years ago
- A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X☆131Updated 3 years ago
- Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well…☆356Updated last year
- A curated list of data mining papers about fraud detection.☆1,703Updated last year
- Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.☆815Updated 2 years ago
- Materials for DGL hands-on tutorial in WWW 2020☆505Updated 3 years ago
- code of HetGNN☆403Updated 5 years ago
- Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"☆531Updated 3 years ago
- Representation-Learning-on-Heterogeneous-Graph☆442Updated 5 years ago
- An Open-Source Toolkit for Heterogeneous Information Network Embedding (HINE)☆323Updated 2 years ago
- Deep and conventional community detection related papers, implementations, datasets, and tools.☆530Updated last year
- Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding☆418Updated 4 years ago
- Heterogeneous Graph Neural Network☆1,140Updated 5 years ago
- A curated list of adversarial attacks and defenses papers on graph-structured data.☆853Updated last year
- PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)☆322Updated 5 months ago
- CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)☆1,781Updated last year
- Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.☆322Updated last year
- Learning Fraud Detection from research papers and industry applications.☆123Updated 5 months ago
- gnn explainer☆958Updated 9 months ago
- GraphGallery is a gallery for benchmarking Graph Neural Networks☆468Updated last year
- ☆352Updated 5 years ago
- Python3 implementation of oddball☆35Updated 11 months ago
- ☆322Updated 10 months ago
- A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.☆650Updated last year
- Heterogeneous Information Network Embedding☆198Updated 3 years ago
- GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020☆327Updated last year
- Heterogeneous Network Embedding: Survey, Benchmark, Evaluation, and Beyond☆258Updated 4 years ago
- Graph Neural Networks for Social Recommendation, WWW'19☆379Updated 4 years ago