mala-lab / TAM-masterLinks
Official implementation of NeurIPS'23 paper "Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection"
☆45Updated last year
Alternatives and similar repositories for TAM-master
Users that are interested in TAM-master are comparing it to the libraries listed below
Sorting:
- Official implementation for NeurIPS'24 paper "Generative Semi-supervised Graph Anomaly Detection"☆62Updated 4 months ago
- "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023☆137Updated last year
- Official repository for 2025 TKDE survey paper "Deep Graph Anomaly Detection: A Survey and New Perspectives", including diverse types of …☆181Updated 2 months ago
- Data repository for PyGOD☆47Updated last year
- ☆31Updated 2 years ago
- [TNNLS] Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning☆98Updated 4 years ago
- An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted b…☆64Updated 2 years ago
- [NeurIPS'23] Towards Self-Interpretable Graph-Level Anomaly Detection☆29Updated last year
- ☆49Updated 2 years ago
- Official PyTorch implementation for the paper ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection (AAAI 2024).☆29Updated 7 months ago
- The official PyTorch implementation of Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive Alignment (AAAI2023, to appear)…☆44Updated 3 years ago
- The paper " ComGA:Community-Aware Attributed Graph Anomaly Detection" was accepted by WSDM 2022.☆36Updated 3 years ago
- ☆18Updated 2 years ago
- Official Code for IJCAI25 paper "Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts"☆22Updated 6 months ago
- A collection of papers for graph anomaly detection, and published algorithms and datasets.☆133Updated 2 years ago
- ☆38Updated 3 years ago
- [NeurIPS'24] ARC: A Generalist Graph Anomaly Detector with In-Context Learning☆28Updated last year
- ☆12Updated 2 years ago
- [TKDE 2021] A PyTorch implementation of "Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection".☆48Updated 4 years ago
- ICLR25_Unifying Unsupervised Graph-Level Out-of-Distribution Detection and Anomaly Detection: A Benchmark☆62Updated 4 months ago
- [WSDM'23] GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection☆45Updated 2 years ago
- "Rethinking Graph Neural Networks for Anomaly Detection" in ICML 2022☆194Updated last year
- ☆14Updated 2 years ago
- [KDD'23] Learning Strong Graph Neural Networks with Weak Information☆43Updated 2 years ago
- ☆59Updated last year
- The implementation for DropMessage.☆39Updated 2 years ago
- A library for static attributed graph outlier detection. 静态属性图节点的异常检测模型集。☆31Updated 2 years ago
- ☆13Updated 9 months ago
- A Pytorch implement of paper "Anomaly detection in dynamic graphs via transformer" (TADDY).☆59Updated 4 years ago
- [WSDM 2023] "Alleviating Structrual Distribution Shift in Graph Anomaly Detection" by Yuan Gao, Xiang Wang, Xiangnan He, Zhenguang Liu, H…☆25Updated 2 years ago