yixinliu233 / SIGNETLinks
[NeurIPS'23] Towards Self-Interpretable Graph-Level Anomaly Detection
☆25Updated 11 months ago
Alternatives and similar repositories for SIGNET
Users that are interested in SIGNET are comparing it to the libraries listed below
Sorting:
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆52Updated 2 years ago
- [WSDM 2023] "Alleviating Structrual Distribution Shift in Graph Anomaly Detection" by Yuan Gao, Xiang Wang, Xiangnan He, Zhenguang Liu, H…☆22Updated 2 years ago
- [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".☆49Updated 3 years ago
- [WSDM'23] GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection☆42Updated 2 years ago
- ☆14Updated 2 years ago
- ☆18Updated 2 years ago
- [WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction☆45Updated 7 months ago
- ☆12Updated 2 years ago
- The Open Source Code For ICML 2023 Paper "Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-pron…☆15Updated 2 years ago
- Source code of NeurIPS 2022 paper “Co-Modality Graph Contrastive Learning for Imbalanced Node Classification”☆20Updated 2 years ago
- ☆29Updated last year
- Official implementation of NeurIPS'23 paper "Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection"☆42Updated last year
- [KDD'23] Learning Strong Graph Neural Networks with Weak Information☆42Updated 2 years ago
- [TKDE 2021] A PyTorch implementation of "Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection".☆47Updated 3 years ago
- [WWW 2023] "Addressing Heterophily in Graph Anomaly Detection: A Perspective of Graph Spectrum" by Yuan Gao, Xiang Wang, Xiangnan He, Zhe…☆38Updated last year
- ☆31Updated 3 years ago
- ☆38Updated 3 years ago
- Code for GBK-GNN (paper accepted by WWW2022)☆16Updated 3 years ago
- ICLR25_Unifying Unsupervised Graph-Level Out-of-Distribution Detection and Anomaly Detection: A Benchmark☆57Updated 9 months ago
- An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted b…☆59Updated last year
- [TNNLS] Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning☆93Updated 4 years ago
- Official repository for NeurIPS 2023 paper "When Do Graph Neural Networks Help with Node Classification? Investigating the Impact of Homo…☆21Updated 7 months ago
- [NeurIPS'24] ARC: A Generalist Graph Anomaly Detector with In-Context Learning☆25Updated 8 months ago
- GOODAT: Towards Test-time Graph Out-of-Distribution Detection☆11Updated last year
- ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily☆43Updated 2 years ago
- "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023☆128Updated last year
- ☆49Updated 2 years ago
- The official source code for "Class Label-aware Graph Anomaly Detection", accepted at CIKM 2023.☆16Updated last year
- Pytorch implementation of NeurIPS-23:"Structure-free Graph Condensation (SFGC): From Large-scale Graphs to Condensed Graph-free Data"☆36Updated last year
- [IJCAI'23] LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity☆17Updated 8 months ago