Maruhashi, Koji

8 publications

AAAI 2025 DCILP: A Distributed Approach for Large-Scale Causal Structure Learning Shuyu Dong, Michèle Sebag, Kento Uemura, Akito Fujii, Shuang Chang, Yusuke Koyanagi, Koji Maruhashi

LoG 2023 A Latent Diffusion Model for Protein Structure Generation Cong Fu, Keqiang Yan, Limei Wang, Wing Yee Au, Michael Curtis McThrow, Tao Komikado, Koji Maruhashi, Kanji Uchino, Xiaoning Qian, Shuiwang Ji

ICLR 2023 Automated Data Augmentations for Graph Classification Youzhi Luo, Michael Curtis McThrow, Wing Yee Au, Tao Komikado, Kanji Uchino, Koji Maruhashi, Shuiwang Ji

ICML 2022 Generating 3D Molecules for Target Protein Binding Meng Liu, Youzhi Luo, Kanji Uchino, Koji Maruhashi, Shuiwang Ji

ICLRW 2021 Bermuda Triangles: GNNs Fail to Detect Simple Topological Structures Arseny Tolmachev, Akira Sakai, Masaru Todoriki, Koji Maruhashi

ECML-PKDD 2021 Crowdsourcing Evaluation of Saliency-Based XAI Methods Xiaotian Lu, Arseny Tolmachev, Tatsuya Yamamoto, Koh Takeuchi, Seiji Okajima, Tomoyoshi Takebayashi, Koji Maruhashi, Hisashi Kashima

ECML-PKDD 2021 Inter-Domain Multi-Relational Link Prediction Luu Huu Phuc, Koh Takeuchi, Seiji Okajima, Arseny Tolmachev, Tomoyoshi Takebayashi, Koji Maruhashi, Hisashi Kashima

AAAI 2018 Learning Multi-Way Relations via Tensor Decomposition with Neural Networks Koji Maruhashi, Masaru Todoriki, Takuya Ohwa, Keisuke Goto, Yu Hasegawa, Hiroya Inakoshi, Hirokazu Anai