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Masashi Tsubaki

2 accepted papers

2020

On the equivalence of molecular graph convolution and molecular wave function with poor basis set

NeurIPS 2020poster

In this study, we demonstrate that the linear combination of atomic orbitals (LCAO), an approximation introduced by Pauling and Lennard-Jones in the 1920s, corresponds to graph convolutional networks (GCNs) for molecules. However, GCNs involve unnecessary nonlinearity and deep architecture. We also…

2018

Mean-field theory of graph neural networks in graph partitioning

NeurIPS 2018poster

A theoretical performance analysis of the graph neural network (GNN) is presented. For classification tasks, the neural network approach has the advantage in terms of flexibility that it can be employed in a data-driven manner, whereas Bayesian inference requires the assumption of a specific model.…

Cited by 78SourcePDFScholar