Graph Outlier Detection
4 papers with code • 0 benchmarks • 0 datasets
Benchmarks
These leaderboards are used to track progress in Graph Outlier Detection
Libraries
Use these libraries to find Graph Outlier Detection models and implementationsMost implemented papers
BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs
pygod-team/pygod
•
•
To bridge this gap, we present--to the best of our knowledge--the first comprehensive benchmark for unsupervised outlier node detection on static attributed graphs called BOND, with the following highlights.
PyGOD: A Python Library for Graph Outlier Detection
pygod-team/pygod
•
•
PyGOD is an open-source Python library for detecting outliers in graph data.
Unsupervised Graph Outlier Detection: Problem Revisit, New Insight, and Superior Method
In addition, we observe that existing algorithms have a performance drop with the mitigated data leakage issue.
Data Augmentation for Supervised Graph Outlier Detection via Latent Diffusion Models
kayzliu/godm
•
•
To bridge this gap, we introduce GODM, a novel data augmentation for mitigating class imbalance in supervised Graph Outlier detection via latent Diffusion Models.
