Search Results for author: Tetsu Kasanishi

Found 2 papers, 1 papers with code

SciReviewGen: A Large-scale Dataset for Automatic Literature Review Generation

1 code implementation24 May 2023 Tetsu Kasanishi, Masaru Isonuma, Junichiro Mori, Ichiro Sakata

Automatic literature review generation is one of the most challenging tasks in natural language processing.

Review Generation

Edge-Level Explanations for Graph Neural Networks by Extending Explainability Methods for Convolutional Neural Networks

no code implementations1 Nov 2021 Tetsu Kasanishi, Xueting Wang, Toshihiko Yamasaki

Graph Neural Networks (GNNs) are deep learning models that take graph data as inputs, and they are applied to various tasks such as traffic prediction and molecular property prediction.

Molecular Property Prediction Property Prediction +1

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