Search Results for author: Hirotada Honda

Found 2 papers, 0 papers with code

From Coupled Oscillators to Graph Neural Networks: Reducing Over-smoothing via a Kuramoto Model-based Approach

no code implementations6 Nov 2023 Tuan Nguyen, Hirotada Honda, Takashi Sano, Vinh Nguyen, Shugo Nakamura, Tan M. Nguyen

We propose the Kuramoto Graph Neural Network (KuramotoGNN), a novel class of continuous-depth graph neural networks (GNNs) that employs the Kuramoto model to mitigate the over-smoothing phenomenon, in which node features in GNNs become indistinguishable as the number of layers increases.

Sensitivity of quantum PageRank

no code implementations27 Jun 2019 Hirotada Honda

In this paper, we discuss the sensitivity of quantum PageRank.

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