143 skills found · Page 1 of 5
safe-graph / Graph Fraud Detection PapersA curated list of Graph/Transformer-based fraud, anomaly, and outlier detection papers & resources
pygod-team / PygodA Python Library for Graph Outlier Detection (Anomaly Detection)
shubhomoydas / Ad ExamplesA collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.
Stream-AD / MIDASAnomaly Detection on Dynamic (time-evolving) Graphs in Real-time and Streaming manner. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies.
d-ailin / GDNImplementation code for the paper "Graph Neural Network-Based Anomaly Detection in Multivariate Time Series" (AAAI 2021)
mala-lab / ADBenchmarks Anomaly Detection DatasetsADRepository: Real-world anomaly detection datasets, including tabular data (categorical and numerical data), time series data, graph data, image data, and video data.
ML4ITS / Mtad Gat PytorchPyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).
XiaoxiaoMa-MQ / Awesome Deep Graph Anomaly DetectionAwesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We also invite researchers interested in anomaly detection, graph representation learning, and graph anomaly detection to join this project as contributors and boost further research in this area.
jx-zhong-for-academic-purpose / GCN Anomaly DetectionSource codes of our paper in CVPR 2019: Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action Classifier for Anomaly Detection
mala-lab / Awesome Deep Graph Anomaly DetectionOfficial repository for 2025 TKDE survey paper "Deep Graph Anomaly Detection: A Survey and New Perspectives", including diverse types of resources for graph anomaly detection
squareRoot3 / Rethinking Anomaly Detection"Rethinking Graph Neural Networks for Anomaly Detection" in ICML 2022
mala-lab / Awesome Anomaly Detection Foundation ModelsA curated list of papers & resources on anomaly detection foundation models using large language model, vision-language model, graph foundation model, time series foundation model, etc
EnyanDai / GANFOffical implementation of "Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series" (ICLR 2022)
zackchen-lb / GTALearning Graph Structures with Transformer for Multivariate Time Series Anomaly Detection in IoT
squareRoot3 / GADBench"GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023
kaize0409 / GCN AnomalyDetectionCode for Deep Anomaly Detection on Attributed Networks (SDM2019)
FelixDJC / Awesome Graph Anomaly DetectionA collection of papers for graph anomaly detection, and published algorithms and datasets.
mangushev / Mtad GatImplementation of MTAD-GAT: Multivariate Time-series Anomaly Detection via Graph Attention Network
USC-FORTIS / AD AGENTA multi-agent framework to fully automate anomaly detection in different modalities, tabular, graph, time series, and more (work in progress)!
Stream-AD / AnoGraphSketch-Based Anomaly Detection in Streaming Graphs
