kaize0409 / GraphUCB_AnomalyDetection
Implementation of WSDM2019 -- Interactive Anomaly Detection on Attributed Networks
☆14Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for GraphUCB_AnomalyDetection
- [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".☆45Updated 3 years ago
- [WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction☆36Updated 2 months ago
- ☆28Updated 2 years ago
- ☆31Updated 2 years ago
- Imbalanced Network Embedding vi aGenerative Adversarial Graph Networks☆25Updated 3 years ago
- Contrastive Attributed Network Anomaly Detection with Data Augmentation (PAKDD'22)☆25Updated 2 years ago
- [TKDE 2021] A PyTorch implementation of "Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection".☆43Updated 3 years ago
- ☆18Updated last year
- Code for paper https://arxiv.org/abs/2102.13186☆39Updated 3 years ago
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆49Updated last year
- Codebase for KDD22 paper "Subset Node Anomaly Tracking over Large Dynamic Graphs"☆13Updated last year
- An official PyTorch implementation of "Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels" (WSDM 2022))☆32Updated 2 years ago
- ☆24Updated 2 years ago
- "HomoGCL: Rethinking Homophily in Graph Contrastive Learning" in KDD'23☆13Updated last year
- ☆75Updated 2 years ago
- ☆11Updated last year
- Outlier Aware Network Embedding for Attributed Networks☆20Updated 4 years ago
- A curated list of publications and code about data augmentaion for graphs.☆63Updated 2 years ago
- The pytorch implementation of DCI (SIGIR2021).☆35Updated last year
- TNNLS: A Synergistic Approach for Graph Anomaly Detection with Pattern Mining and Feature Learning; CIKM'20: Error-bounded Graph Anomaly …☆40Updated last year
- This repo contains a reference implementation for the paper "Breaking the Limit of Graph Neural Networks by Improving the Assortativity o…☆32Updated 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
- Offical pytorch implementation of proposed NRGNN and Compared Methods in "NRGNN: Learning a Label Noise-Resistant Graph Neural Network on…☆40Updated 2 years ago
- Implementation of TheWebConf 2021 -- Few-shot Network Anomaly Detection via Cross-network Meta-learning☆53Updated 8 months ago
- Code for The Web Conference 2022 Paper "Collaborative Knowledge Distillation for Heterogeneous Information Network Embedding"☆17Updated 2 years ago
- Open source code for paper "EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks".☆26Updated 2 years ago
- ☆19Updated 2 years ago
- Implementation of the paper Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation(WSDM22)☆30Updated 2 years ago
- ☆28Updated 3 years ago
- Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"☆26Updated 2 years ago