Koji Maruhashi

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 20

Top Topics

Causal Discovery

Distributed Learning

Protein Structure

Top Venues

Publications

Shuyu Dong, Michèle Sebag, Kento Uemura, Akito Fujii, Shuang Chang, Yusuke Koyanagi, Koji Maruhashi
DCDILP: a distributed learning method for large-scale causal structure learning. CoRR (2024)
Cong Fu, Keqiang Yan, Limei Wang, Wing Yee Au, Michael McThrow, Tao Komikado, Koji Maruhashi, Kanji Uchino, Xiaoning Qian, Shuiwang Ji
A Latent Diffusion Model for Protein Structure Generation. LoG (2023)
Cong Fu, Keqiang Yan, Limei Wang, Wing Yee Au, Michael McThrow, Tao Komikado, Koji Maruhashi, Kanji Uchino, Xiaoning Qian, Shuiwang Ji
A Latent Diffusion Model for Protein Structure Generation. CoRR (2023)
Youzhi Luo, Michael McThrow, Wing Yee Au, Tao Komikado, Kanji Uchino, Koji Maruhashi, Shuiwang Ji
Automated Data Augmentations for Graph Classification. ICLR (2023)
Shuang Chang, Takashi Kato, Yusuke Koyanagi, Kento Uemura, Koji Maruhashi
An Iterative Analysis Method Using Causal Discovery Algorithms to Enhance ABM as a Policy Tool. WSC (2023)
Shuyu Dong, Kento Uemura, Akito Fujii, Shuang Chang, Yusuke Koyanagi, Koji Maruhashi, Michèle Sebag
High-Dimensional Causal Discovery: Learning from Inverse Covariance via Independence-based Decomposition. CoRR (2022)
Shuang Chang, Tatsuya Asai, Yusuke Koyanagi, Kento Uemura, Koji Maruhashi, Kotaro Ohori
Incorporating AI Methods in Micro-dynamic Analysis to Support Group-Specific Policy-Making. PRIMA (2022)
Meng Liu, Youzhi Luo, Kanji Uchino, Koji Maruhashi, Shuiwang Ji
Generating 3D Molecules for Target Protein Binding. CoRR (2022)
Youzhi Luo, Michael McThrow, Wing Yee Au, Tao Komikado, Kanji Uchino, Koji Maruhashi, Shuiwang Ji
Automated Data Augmentations for Graph Classification. CoRR (2022)
Meng Liu, Youzhi Luo, Kanji Uchino, Koji Maruhashi, Shuiwang Ji
Generating 3D Molecules for Target Protein Binding. ICML (2022)
Arseny Tolmachev, Akira Sakai, Masaru Todoriki, Koji Maruhashi
Bermuda Triangles: GNNs Fail to Detect Simple Topological Structures. CoRR (2021)
Xiaotian Lu, Arseny Tolmachev, Tatsuya Yamamoto, Koh Takeuchi, Seiji Okajima, Tomoyoshi Takebayashi, Koji Maruhashi, Hisashi Kashima
Crowdsourcing Evaluation of Saliency-Based XAI Methods. ECML/PKDD (5) (2021)
Luu Huu Phuc, Koh Takeuchi, Seiji Okajima, Arseny Tolmachev, Tomoyoshi Takebayashi, Koji Maruhashi, Hisashi Kashima
Inter-domain Multi-relational Link Prediction. CoRR (2021)
Luu Huu Phuc, Koh Takeuchi, Seiji Okajima, Arseny Tolmachev, Tomoyoshi Takebayashi, Koji Maruhashi, Hisashi Kashima
Inter-domain Multi-relational Link Prediction. ECML/PKDD (2) (2021)
Masaru Todoriki, Masafumi Shingu, Shotaro Yano, Arseny Tolmachev, Tao Komikado, Koji Maruhashi
Semi-Automatic Reliable Explanations for Prediction in Graphs. CCWC (2021)
Izumi Nitta, Ryo Ishizaki, Masafumi Shingu, Satoshi Nakashima, Koji Maruhashi, Arseny Tolmachev, Masaru Todoriki
Graph-based Massive Open Online Course (MOOC) Dropout Prediction using Clickstream Data in Virtual Learning Environment. ICCSE (2021)
Xiaotian Lu, Arseny Tolmachev, Tatsuya Yamamoto, Koh Takeuchi, Seiji Okajima, Tomoyoshi Takebayashi, Koji Maruhashi, Hisashi Kashima
Crowdsourcing Evaluation of Saliency-based XAI Methods. CoRR (2021)
Koji Maruhashi, Heewon Park, Rui Yamaguchi, Satoru Miyano
Linear Tensor Projection Revealing Nonlinearity. CoRR (2020)
Koji Maruhashi, Masaru Todoriki, Takuya Ohwa, Keisuke Goto, Yu Hasegawa, Hiroya Inakoshi, Hirokazu Anai
Learning Multi-Way Relations via Tensor Decomposition With Neural Networks. AAAI (2018)
Satomi Saito, Koji Maruhashi, Masahiko Takenaka, Satoru Torii
TOPASE: Detection and Prevention of Brute Force Attacks with Disciplined IPs from IDS Logs. J. Inf. Process. 24 (2) (2016)
Satomi Honda, Yuki Unno, Koji Maruhashi, Masahiko Takenaka, Satoru Torii
TOPASE: Detection of brute force attacks used disciplined IPs from IDS log. IM (2015)
Koji Maruhashi, Nobuhiro Yugami
MultiAspectSpotting: Spotting Anomalous Behavior within Count Data Using Tensor. PAKDD (2) (2014)
Koji Maruhashi, Junichi Shigezumi, Nobuhiro Yugami, Christos Faloutsos
EigenSP: A More Accurate Shortest Path Distance Estimation on Large-Scale Networks. ICDM Workshops (2012)
Koji Maruhashi, Fan Guo, Christos Faloutsos
MultiAspectForensics: mining large heterogeneous networks using tensor. Int. J. Web Eng. Technol. 7 (4) (2012)
Koji Maruhashi, Fan Guo, Christos Faloutsos
MultiAspectForensics: Pattern Mining on Large-Scale Heterogeneous Networks with Tensor Analysis. ASONAM (2011)
Keith Henderson, Tina Eliassi-Rad, Christos Faloutsos, Leman Akoglu, Lei Li, Koji Maruhashi, B. Aditya Prakash, Hanghang Tong
Metric forensics: a multi-level approach for mining volatile graphs. KDD (2010)
Koji Maruhashi, Christos Faloutsos
EigenDiagnostics: Spotting Connection Patterns and Outliers in Large Graphs. ICDM Workshops (2010)
Hiroshi Yamakawa, Koji Maruhashi, Yoshio Nakao
Predicting Types of Protein-Protein Interactions Using a Multiple-Instance Learning Model. JSAI (2006)
Hiroshi Yamakawa, Koji Maruhashi, Yoshio Nakao, Mutsuyo Yamaguchi
Multi-Aspect Gene Relation Analysis. Pacific Symposium on Biocomputing (2005)