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
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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
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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 with Latent Diffusion Models
kayzliu/godm
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One of the fundamental challenges confronting supervised graph outlier detection algorithms is the prevalent issue of class imbalance, where the scarcity of outlier instances compared to normal instances often results in suboptimal performance.
