FelixDJC / Awesome-Graph-Anomaly-DetectionLinks
A collection of papers for graph anomaly detection, and published algorithms and datasets.
☆127Updated last year
Alternatives and similar repositories for Awesome-Graph-Anomaly-Detection
Users that are interested in Awesome-Graph-Anomaly-Detection are comparing it to the libraries listed below
Sorting:
- "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023☆129Updated last year
- PyTorch Implementation for "Deep Anomaly Detection on Attributed Networks" (SDM2019)☆73Updated 3 years ago
- Data repository for PyGOD☆43Updated last year
- The paper " ComGA:Community-Aware Attributed Graph Anomaly Detection" was accepted by WSDM 2022.☆36Updated 2 years ago
- An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted b…☆60Updated last year
- (WWW 2021) Source code of PC-GNN☆105Updated 3 years ago
- [TNNLS] Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning☆93Updated 4 years ago
- ☆31Updated 3 years ago
- The official implementation of the DGA-GNN algorithm.☆27Updated last year
- "Rethinking Graph Neural Networks for Anomaly Detection" in ICML 2022☆183Updated last year
- ☆38Updated 3 years ago
- This repository contains the resources on graph neural network (GNN) considering heterophily.☆262Updated 8 months ago
- ☆29Updated last year
- Official implementation for NeurIPS'24 paper "Generative Semi-supervised Graph Anomaly Detection"☆55Updated 3 weeks ago
- [WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction☆48Updated 8 months ago
- Fraud Detection, Low Homophily, Label Utilization, Graph Mining☆49Updated last year
- [TKDE 2021] A PyTorch implementation of "Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection".☆47Updated 3 years ago
- A Survey of Learning from Graphs with Heterophily☆145Updated 5 months ago
- Official repository for 2025 TKDE survey paper "Deep Graph Anomaly Detection: A Survey and New Perspectives", including diverse types of …☆127Updated last week
- Awesome literature on imbalanced learning on graphs☆75Updated 10 months ago
- Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well…☆364Updated 2 years ago
- ☆49Updated 2 years ago
- ☆14Updated 2 years ago
- ☆47Updated 2 years ago
- A Unified Library for Deep Graph Clustering☆112Updated last week
- A Pytorch implement of paper "Anomaly detection in dynamic graphs via transformer" (TADDY).☆59Updated 3 years ago
- ☆23Updated last year
- ☆35Updated 3 years ago
- ☆80Updated 8 months ago
- Official implementation of NeurIPS'23 paper "Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection"☆42Updated last year