2 papers
cs.LG2025
On the Stability of Graph Convolutional Neural Networks: A Probabilistic Perspective
Ning Zhang, Henry Kenlay, Li Zhang +2
Graph convolutional neural networks (GCNNs) have emerged as powerful tools for analyzing graph-structured data, achieving remarkable success across diverse applications. However, t…
stat.ML2025
Spectral Clustering for Directed Graphs via Likelihood Estimation on Stochastic Block Models
Ning Zhang, Xiaowen Dong, Mihai Cucuringu
Graph clustering is a fundamental task in unsupervised learning with broad real-world applications. While spectral clustering methods for undirected graphs are well-established and…