most citedSpectral Clustering for Directed Graphs via Likelihood Estimation on Stochastic Block Models

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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…