haoyfan / Dual-SVDAE
Deep Dual Support Vector Data Description for Anomaly Detection on Attributed Networks
☆12Updated 3 years ago
Alternatives and similar repositories for Dual-SVDAE:
Users that are interested in Dual-SVDAE 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
- [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".☆48Updated 3 years ago
- LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks☆43Updated 2 years ago
- [TNNLS] Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning☆89Updated 3 years ago
- my implement of my paper☆63Updated 3 years ago
- Official PyTorch implementation for the paper ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection (AAAI 2024).☆21Updated last year
- AnomalyDAE (ICASSP2020)☆50Updated 4 years ago
- Implementation of TheWebConf 2021 -- Few-shot Network Anomaly Detection via Cross-network Meta-learning☆55Updated last year
- Source Code for Graph Anomaly Detection with Unsupervised GNNs (ICDM2022)☆11Updated 2 years ago
- The paper " ComGA:Community-Aware Attributed Graph Anomaly Detection" was accepted by WSDM 2022.☆36Updated 2 years ago
- Implementation of the paper Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation(WSDM22)☆32Updated 3 years ago
- Contrastive Attributed Network Anomaly Detection with Data Augmentation (PAKDD'22)☆25Updated 2 years ago
- This paper studies the problem of cross-network node classification to overcome the insufficiency of labeled data in a single network. It…☆25Updated 2 years ago
- Repository for ICML2022☆15Updated 2 years ago
- ☆37Updated 2 years ago
- Source Code for Paper "DAGAD: Data Augmentation for Graph Anomaly Detection" ICDM 2022☆18Updated 2 years ago
- The official PyTorch implementation of Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive Alignment (AAAI2023, to appear)…☆44Updated 2 years ago
- Code for "DyGCN: Dynamic Graph Embedding with Graph Convolutional Network"☆37Updated 11 months ago
- [NeurIPS'23] Towards Self-Interpretable Graph-Level Anomaly Detection☆23Updated 8 months ago
- ☆18Updated last year
- Code for structural temporal graph neural networks for anomaly detection in dynamic graphs☆23Updated 9 months ago
- ☆7Updated 3 years ago
- ☆12Updated 2 years ago
- Imbalanced Network Embedding vi aGenerative Adversarial Graph Networks☆27Updated 3 years ago
- An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted b…☆53Updated last year
- TNNLS: A Synergistic Approach for Graph Anomaly Detection with Pattern Mining and Feature Learning; CIKM'20: Error-bounded Graph Anomaly …☆41Updated last year
- ☆12Updated 2 years ago
- PyTorch Implementation for "Deep Anomaly Detection on Attributed Networks" (SDM2019)☆71Updated 3 years ago
- ☆28Updated last year
- official code for our KDD21 paper "Adaptive Transfer Learning on Graph Neural Networks"☆42Updated 3 years ago