kGCN: a graph-based deep learning framework for chemical structures
2020 · Journal of Cheminformatics · 98 citations
https://doi.org/10.1186/s13321-020-00435-6
R
Ryosuke Kojima
Kyoto University(JP)
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Ryosuke Kojima is an academic researcher from Kyoto University. The author has contributed to research in topics: Computational Drug Discovery Methods & Speech and Audio Processing & Machine Learning in Materials Science. The author has an h-index of 19, co-authored 105 publications.
ORCID: 0000-0003-1095-8864Papers by this author
worksMolecular weight fractionation by confinement of polymer in one-dimensional pillar[5]arene channels
2019 · Nature Communications · 50 citations
https://doi.org/10.1038/s41467-019-08372-1
kMoL: an open-source machine and federated learning library for drug discovery
2025 · Journal of Cheminformatics · 9 citations
https://doi.org/10.1186/s13321-025-00967-9
Network-based prediction approach for cancer-specific driver missense mutations using a graph neural network
2023 · BMC Bioinformatics · 7 citations
https://doi.org/10.1186/s12859-023-05507-6
Predictive Diagnostic Approach to Dementia and Dementia Subtypes Using Wireless and Mobile Electroencephalography: A Pilot Study
2022 · Bioelectricity · 5 citations
https://doi.org/10.1089/bioe.2021.0030
Supervised Graph Contrastive Learning for Gene Regulatory Networks
2025 · ArXiv.org · 0 citations
https://doi.org/10.48550/arxiv.2505.17786
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