CampanulaBells / PREM-GADLinks
Code for IEEE ICDM 23 PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection
☆12Updated last year
Alternatives and similar repositories for PREM-GAD
Users that are interested in PREM-GAD are comparing it to the libraries listed below
Sorting:
- PyTorch Implementation for "Deep Anomaly Detection on Attributed Networks" (SDM2019)☆73Updated 3 years ago
- [TKDE 2021] A PyTorch implementation of "Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection".☆48Updated 3 years ago
- A collection of papers for graph anomaly detection, and published algorithms and datasets.☆127Updated last year
- ☆14Updated 2 years ago
- ☆12Updated 2 years ago
- An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted b…☆62Updated last year
- [TNNLS] Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning☆94Updated 4 years ago
- Source Code for Paper "DAGAD: Data Augmentation for Graph Anomaly Detection" ICDM 2022☆19Updated 2 years ago
- "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023☆130Updated last year
- The code of Addgraph frame.☆23Updated 3 years ago
- ☆31Updated 3 years ago
- ☆12Updated 5 months ago
- This is the source code for [SLADE: Detecting Dynamic Anomalies in Edge Streams without Labels via Self-Supervised Learning]☆14Updated last year
- The paper " ComGA:Community-Aware Attributed Graph Anomaly Detection" was accepted by WSDM 2022.☆36Updated 2 years ago
- ☆30Updated 2 years ago
- Data repository for PyGOD☆43Updated last year
- Code for paper "Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation" (TKDE 2023)☆14Updated 7 months ago
- [NeurIPS'23] Towards Self-Interpretable Graph-Level Anomaly Detection☆26Updated last year
- ICLR25_Unifying Unsupervised Graph-Level Out-of-Distribution Detection and Anomaly Detection: A Benchmark☆58Updated 2 weeks ago
- ☆38Updated 3 years ago
- Implementation of the paper Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation(WSDM22)☆34Updated 3 years ago
- A library for static attributed graph outlier detection. 静态属性图节点的异常检测模型集。☆31Updated last year
- Official implementation for NeurIPS'24 paper "Generative Semi-supervised Graph Anomaly Detection"☆55Updated 2 weeks ago
- [CIKM'23] Time-aware Graph Structure Learning via Sequence Prediction on Temporal Graphs☆20Updated 2 years ago
- [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".☆49Updated 3 years ago
- "Rethinking Graph Neural Networks for Anomaly Detection" in ICML 2022☆186Updated last year
- Official implementation of NeurIPS'23 paper "Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection"☆42Updated last year
- Source Code for Graph Anomaly Detection with Unsupervised GNNs (ICDM2022)☆12Updated 2 years ago
- A Pytorch implement of paper "Anomaly detection in dynamic graphs via transformer" (TADDY).☆59Updated 3 years ago
- The official PyTorch implementation of Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive Alignment (AAAI2023, to appear)…☆43Updated 2 years ago