mike-qz-wang / ACT
The official PyTorch implementation of Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive Alignment (AAAI2023, to appear).
☆44Updated 2 years ago
Alternatives and similar repositories for ACT:
Users that are interested in ACT are comparing it to the libraries listed below
- [TKDE 2021] A PyTorch implementation of "Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection".☆45Updated 3 years ago
- The paper " ComGA:Community-Aware Attributed Graph Anomaly Detection" was accepted by WSDM 2022.☆36Updated 2 years ago
- [TNNLS] Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning☆89Updated 3 years ago
- ☆37Updated 2 years ago
- ☆19Updated last year
- [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".☆49Updated 3 years ago
- Implementation of TheWebConf 2021 -- Few-shot Network Anomaly Detection via Cross-network Meta-learning☆56Updated last year
- ☆29Updated 2 years ago
- Official implementation of NeurIPS'23 paper "Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection"☆40Updated 11 months ago
- ☆12Updated 2 years ago
- An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted b…☆55Updated last year
- ☆12Updated 2 years ago
- Implementation of the paper Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation(WSDM22)☆32Updated 3 years ago
- "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023☆110Updated 9 months ago
- ☆47Updated 2 years ago
- [WSDM 2023] "Alleviating Structrual Distribution Shift in Graph Anomaly Detection" by Yuan Gao, Xiang Wang, Xiangnan He, Zhenguang Liu, H…☆20Updated last year
- [NeurIPS'23] Towards Self-Interpretable Graph-Level Anomaly Detection☆23Updated 9 months ago
- ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily☆43Updated 2 years ago
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆52Updated 2 years ago
- [IJCAI'23] LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity☆17Updated 5 months ago
- Data repository for PyGOD☆41Updated last year
- PyTorch Implementation for "Deep Anomaly Detection on Attributed Networks" (SDM2019)☆72Updated 3 years ago
- ☆33Updated 2 years ago
- Fraud Detection, Low Homophily, Label Utilization, Graph Mining☆49Updated last year
- Official repository for survey paper "Deep Graph Anomaly Detection: A Survey and New Perspectives", including diverse types of resources …☆89Updated this week
- ☆37Updated 3 years ago
- "GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification" in KDD'23☆30Updated last year
- Offical pytorch implementation of proposed NRGNN and Compared Methods in "NRGNN: Learning a Label Noise-Resistant Graph Neural Network on…☆42Updated 2 years ago
- ☆28Updated last year
- Source Code for Paper "DAGAD: Data Augmentation for Graph Anomaly Detection" ICDM 2022☆18Updated 2 years ago