mala-lab / Awesome-Deep-Graph-Anomaly-DetectionLinks
Official repository for 2025 TKDE survey paper "Deep Graph Anomaly Detection: A Survey and New Perspectives", including diverse types of resources for graph anomaly detection
☆158Updated 2 weeks ago
Alternatives and similar repositories for Awesome-Deep-Graph-Anomaly-Detection
Users that are interested in Awesome-Deep-Graph-Anomaly-Detection are comparing it to the libraries listed below
Sorting:
- Official implementation for NeurIPS'24 paper "Generative Semi-supervised Graph Anomaly Detection"☆59Updated 2 months ago
- "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023☆133Updated last year
- [TNNLS] Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning☆94Updated 4 years ago
- A collection of papers for graph anomaly detection, and published algorithms and datasets.☆129Updated last year
- Official implementation of NeurIPS'23 paper "Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection"☆44Updated last year
- The paper " ComGA:Community-Aware Attributed Graph Anomaly Detection" was accepted by WSDM 2022.☆36Updated 3 years ago
- Advances on machine learning of graphs, covering the reading list of recent top academic conferences.☆220Updated last month
- ☆31Updated 2 years ago
- "Rethinking Graph Neural Networks for Anomaly Detection" in ICML 2022☆188Updated last year
- The official PyTorch implementation of Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive Alignment (AAAI2023, to appear)…☆44Updated 2 years ago
- Data repository for PyGOD☆44Updated last year
- A Survey of Learning from Graphs with Heterophily☆151Updated 8 months ago
- ☆38Updated 3 years ago
- Awesome literature on imbalanced learning on graphs☆75Updated last year
- An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted b…☆63Updated last year
- ☆49Updated 2 years ago
- This repository contains the resources on graph neural network (GNN) considering heterophily.☆263Updated 10 months ago
- A Pytorch implement of paper "Anomaly detection in dynamic graphs via transformer" (TADDY).☆58Updated 3 years ago
- PyTorch Implementation for "Deep Anomaly Detection on Attributed Networks" (SDM2019)☆74Updated 4 years ago
- Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well…☆373Updated 2 years ago
- [TKDE 2021] A PyTorch implementation of "Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection".☆49Updated 4 years ago
- ICLR25_Unifying Unsupervised Graph-Level Out-of-Distribution Detection and Anomaly Detection: A Benchmark☆61Updated 2 months ago
- [WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction☆50Updated 11 months ago
- Implementation of the paper Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation(WSDM22)☆34Updated 3 years ago
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆143Updated 2 years ago
- This is the source code for [SLADE: Detecting Dynamic Anomalies in Edge Streams without Labels via Self-Supervised Learning]☆15Updated last year
- ☆12Updated 7 months ago
- Fraud Detection, Low Homophily, Label Utilization, Graph Mining☆49Updated last year
- The official implementation of the DGA-GNN algorithm.☆27Updated last year
- [NeurIPS'23] Towards Self-Interpretable Graph-Level Anomaly Detection☆26Updated last year