Author

Yuichi Yoshida

View on Semantic Scholar

1 paper indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

#graph neural networks Preprint Aug 2026

Nonlinear Laplacians Improve Signed-Directed Graph Learning

This work introduces a non-linear Laplacian operator specific to signed and directed networks (NLSD) and proposes an efficient spectral GNN framework (NLSD-GNN), which not only integrates signed and directional data effectively but also achieves superior performance across diverse datasets.

Alipanah Parviz, Yuichi Yoshida · 3 citations