2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2026
Optimization-Free Graph Embedding via Distributional Kernel for Community Detection
Shuaibin Song, Kai Ming Ting, Kaifeng Zhang +1
Neighborhood Aggregation Strategy (NAS) is a widely used approach in graph embedding, underpinning both Graph Neural Networks (GNNs) and Weisfeiler-Lehman (WL) methods. However, NA…
cs.LG2023★ 2 cited
Subgraph Centralization: A Necessary Step for Graph Anomaly Detection
Zhong Zhuang, Kai Ming Ting, Guansong Pang +1
Graph anomaly detection has attracted a lot of interest recently. Despite their successes, existing detectors have at least two of the three weaknesses: (a) high computational cost…