zhao-tong / Graph-Anomaly-LossLinks
TNNLS: A Synergistic Approach for Graph Anomaly Detection with Pattern Mining and Feature Learning; CIKM'20: Error-bounded Graph Anomaly Loss for GNNs.
☆42Updated 2 years ago
Alternatives and similar repositories for Graph-Anomaly-Loss
Users that are interested in Graph-Anomaly-Loss are comparing it to the libraries listed below
Sorting:
- [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".☆49Updated 4 years ago
- "Rethinking Graph Neural Networks for Anomaly Detection" in ICML 2022☆186Updated last year
- [TKDE 2021] A PyTorch implementation of "Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection".☆48Updated 3 years ago
- The pytorch implementation of DCI (SIGIR2021).☆34Updated 2 years ago
- ☆58Updated 6 years ago
- my implement of my paper☆62Updated 4 years ago
- [TNNLS] Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning☆94Updated 4 years ago
- (WWW 2021) Source code of PC-GNN☆106Updated 3 years ago
- ☆38Updated 3 years ago
- ☆35Updated 3 years ago
- Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks☆75Updated 11 months ago
- ☆61Updated 4 years ago
- ☆31Updated 3 years ago
- PyTorch Implementation for "Deep Anomaly Detection on Attributed Networks" (SDM2019)☆73Updated 4 years ago
- Contrastive Attributed Network Anomaly Detection with Data Augmentation (PAKDD'22)☆27Updated 3 years ago
- ☆30Updated 2 years ago
- Code for Deep Anomaly Detection on Attributed Networks (SDM2019)☆131Updated 4 years ago
- ☆18Updated 2 years ago
- ☆46Updated 2 years ago
- TKDE'22-GraphCAD: https://arxiv.org/pdf/2108.07516.pdf☆31Updated 2 years ago
- An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted b…☆63Updated last year
- A Pytorch implement of paper "Anomaly detection in dynamic graphs via transformer" (TADDY).☆59Updated 3 years ago
- ☆75Updated 2 years ago
- CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/…☆94Updated 3 weeks ago
- Reproducing the results of the paper Continuous-time Dynamic Network Embeddings☆30Updated 6 years ago
- Official code implementation for CIKM 21 paper Detecting Communities from Heterogeneous Graphs: A Context Path-based Graph Neural Network…☆40Updated 3 years ago
- [WWW 2023] "Addressing Heterophily in Graph Anomaly Detection: A Perspective of Graph Spectrum" by Yuan Gao, Xiang Wang, Xiangnan He, Zhe…☆39Updated last year
- ☆59Updated 2 years ago
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆143Updated 2 years ago
- Official Implementation of AdaGCN (ICLR 2021)☆62Updated 3 years ago