3 papers
stat.ML2026
Deep Two-Way Matrix Reordering for Relational Data Analysis
Chihiro Watanabe, Taiji Suzuki
Matrix reordering is a task to permute the rows and columns of a given observed matrix such that the resulting reordered matrix shows meaningful or interpretable structural pattern…
stat.ML2026
AutoLL: Automatic Linear Layout of Graphs based on Deep Neural Network
Chihiro Watanabe, Taiji Suzuki
Linear layouts are a graph visualization method that can be used to capture an entry pattern in an adjacency matrix of a given graph. By reordering the node indices of the original…
cs.LG2025
Quantifying the Optimization and Generalization Advantages of Graph Neural Networks Over Multilayer Perceptrons
Wei Huang, Yuan Cao, Haonan Wang +2
Graph neural networks (GNNs) have demonstrated remarkable capabilities in learning from graph-structured data, often outperforming traditional Multilayer Perceptrons (MLPs) in nume…