| Learning graph neural networks with noisy labels H NT, CJ Jin, T Murata arXiv preprint arXiv:1905.01591, 2019 | 51 | 2019 |
| Learning community structure with variational autoencoder JJ Choong, X Liu, T Murata 2018 IEEE international conference on data mining (ICDM), 69-78, 2018 | 51 | 2018 |
| Optimizing variational graph autoencoder for community detection with dual optimization JJ Choong, X Liu, T Murata Entropy 22 (2), 197, 2020 | 26 | 2020 |
| Towards robust compressed convolutional neural networks AW Wijayanto, JJ Choong, K Madhawa, T Murata 2019 IEEE International Conference on Big Data and Smart Computing (BigComp …, 2019 | 25 | 2019 |
| Optimizing variational graph autoencoder for community detection JJ Choong, X Liu, T Murata 2019 IEEE International Conference on Big Data (Big Data), 5353-5358, 2019 | 10 | 2019 |
| Variational approach for learning community structures JJ Choong, X Liu, T Murata Complexity 2018 (1), 4867304, 2018 | 6 | 2018 |
| InFrag: Using Attribution-based Explainability to Guide Deep Molecular Optimization P Wüthrich, JJ Choong, S Yuki | 1 | 2021 |
| An interpretability-augmented genetic expert for deep molecular optimization P Wüthrich, JJ Choong, S Yuki NeurIPS 2021 Workshop on Deep Generative Models and Downstream Applications, 2021 | 1 | 2021 |
| kMoL: an open-source machine and federated learning library for drug discovery R Cozac, H Hasic, JJ Choong, V Richard, L Beheshti, C Froehlich, ... Journal of Cheminformatics 17 (1), 22, 2025 | | 2025 |
| Learning Community Structures with Variational Optimization JJ Choong 東京工業大学, 2020 | | 2020 |
| Search Ranking Utilizing User’s Opinion JJ Choong, JL Hong International Journal of Database Theory and Application 9 (7), 9-18, 2016 | | 2016 |
| Opinion Based Search Ranking JJ Choong, JL Hong Neural Information Processing: 20th International Conference, ICONIP 2013 …, 2013 | | 2013 |
