methodology-7
Graph Outlier Detection
3260 papers • 126 benchmarks • 313 datasets
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Most implemented papers
BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs
Yue Zhao, Lichao Sun, Philip S. Yu, Canyu Chen, Xiyang Hu, Kai Shu, Yingtong Dou, Jundong Li, Kaize Ding, George H. Chen, Kay Liu, Xueying Ding, Ruitong Zhang, Hao Peng•Mon Jun 20 2022
This work presents the first comprehensive benchmark for unsupervised outlier node detection on static attributed graphs called BOND, and benchmark the outlier detection performance of 14 methods ranging from classical matrix factorization to the latest graph neural networks.