haoyfan / Dual-SVDAELinks
Deep Dual Support Vector Data Description for Anomaly Detection on Attributed Networks
☆12Updated 4 years ago
Alternatives and similar repositories for Dual-SVDAE
Users that are interested in Dual-SVDAE are comparing it to the libraries listed below
Sorting:
- my implement of my paper☆66Updated 4 years ago
- [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".☆49Updated 4 years ago
- Implementation of TheWebConf 2021 -- Few-shot Network Anomaly Detection via Cross-network Meta-learning☆60Updated last year
- [TKDE 2021] A PyTorch implementation of "Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection".☆48Updated 4 years ago
- Source Code for Graph Anomaly Detection with Unsupervised GNNs (ICDM2022)☆12Updated 3 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 3 years ago
- [TNNLS] Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning☆97Updated 4 years ago
- LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks☆49Updated 6 months ago
- AnomalyDAE (ICASSP2020)☆52Updated 5 years ago
- Unsupervised Domain Adaptation on Graphs☆15Updated 3 years ago
- Contrastive Attributed Network Anomaly Detection with Data Augmentation (PAKDD'22)☆28Updated 3 years ago
- ☆18Updated 2 years ago
- TNNLS: A Synergistic Approach for Graph Anomaly Detection with Pattern Mining and Feature Learning; CIKM'20: Error-bounded Graph Anomaly …☆43Updated 2 years ago
- Implementation of the paper Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation(WSDM22)☆35Updated 4 years ago
- The paper " ComGA:Community-Aware Attributed Graph Anomaly Detection" was accepted by WSDM 2022.☆36Updated 3 years ago
- Repository for ICML2022☆17Updated 3 years ago
- [NeurIPS'23] Towards Self-Interpretable Graph-Level Anomaly Detection☆29Updated last year
- Official Implementation of AdaGCN (ICLR 2021)☆63Updated 3 years ago
- "Rethinking Graph Neural Networks for Anomaly Detection" in ICML 2022☆194Updated last year
- Python implementation of "Unsupervised Domain Adaptive Graph Convolutional Networks", WWW-20.☆58Updated 4 years ago
- Source Code for Paper "DAGAD: Data Augmentation for Graph Anomaly Detection" ICDM 2022☆19Updated 2 years ago
- Official PyTorch implementation for the paper ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection (AAAI 2024).☆27Updated 7 months ago
- ☆50Updated 2 years ago
- official code for our KDD21 paper "Adaptive Transfer Learning on Graph Neural Networks"☆43Updated 3 years ago
- Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction☆38Updated 3 years ago
- ☆37Updated 3 years ago
- Imbalanced Network Embedding vi aGenerative Adversarial Graph Networks☆27Updated 4 years ago
- ☆31Updated 2 years ago
- TKDE'22-GraphCAD: https://arxiv.org/pdf/2108.07516.pdf☆33Updated 3 years ago
- ☆38Updated 2 years ago