Search Results for author: Kosuke Nakago

Found 3 papers, 2 papers with code

GraphNVP: an Invertible Flow-based Model for Generating Molecular Graphs

no code implementations25 Sep 2019 Kaushalya Madhawa, katsuhiko Ishiguro, Kosuke Nakago, Motoki Abe

In contrast, our model is the first invertible model for the whole graph components: both of dequantized node attributes and adjacency tensor are converted into latent vectors through two novel invertible flows.

Graph Generation Molecular Graph Generation +1

BayesGrad: Explaining Predictions of Graph Convolutional Networks

1 code implementation4 Jul 2018 Hirotaka Akita, Kosuke Nakago, Tomoki Komatsu, Yohei Sugawara, Shin-ichi Maeda, Yukino Baba, Hisashi Kashima

A possible approach to answer this question is to visualize evidence substructures responsible for the predictions.

Property Prediction

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