Koji Maruhashi

According to our database, Koji Maruhashi authored at least 24 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

DCDILP: a distributed learning method for large-scale causal structure learning.

Shuyu Dong, Michèle Sebag, Kento Uemura, Akito Fujii, Shuang Chang, Yusuke Koyanagi, Koji Maruhashi

CoRR, 2024

2023

An Iterative Analysis Method Using Causal Discovery Algorithms to Enhance ABM as a Policy Tool.

Shuang Chang, Takashi Kato, Yusuke Koyanagi, Kento Uemura, Koji Maruhashi

Proceedings of the Winter Simulation Conference, 2023

A Latent Diffusion Model for Protein Structure Generation.

Cong Fu, Keqiang Yan, Limei Wang, Wing Yee Au, Michael McThrow, Tao Komikado, Koji Maruhashi, Kanji Uchino, Xiaoning Qian, Shuiwang Ji

Proceedings of the Learning on Graphs Conference, 27-30 November 2023, Virtual Event., 2023

Automated Data Augmentations for Graph Classification.

Youzhi Luo, Michael McThrow, Wing Yee Au, Tao Komikado, Kanji Uchino, Koji Maruhashi, Shuiwang Ji

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

High-Dimensional Causal Discovery: Learning from Inverse Covariance via Independence-based Decomposition.

Shuyu Dong, Kento Uemura, Akito Fujii, Shuang Chang, Yusuke Koyanagi, Koji Maruhashi, Michèle Sebag

CoRR, 2022

Incorporating AI Methods in Micro-dynamic Analysis to Support Group-Specific Policy-Making.

Shuang Chang, Tatsuya Asai, Yusuke Koyanagi, Kento Uemura, Koji Maruhashi, Kotaro Ohori

Proceedings of the PRIMA 2022: Principles and Practice of Multi-Agent Systems, 2022

Generating 3D Molecules for Target Protein Binding.

Meng Liu, Youzhi Luo, Kanji Uchino, Koji Maruhashi, Shuiwang Ji

Proceedings of the International Conference on Machine Learning, 2022

2021

Bermuda Triangles: GNNs Fail to Detect Simple Topological Structures.

Arseny Tolmachev, Akira Sakai, Masaru Todoriki, Koji Maruhashi

CoRR, 2021

Inter-domain Multi-relational Link Prediction.

Luu Huu Phuc, Koh Takeuchi, Seiji Okajima, Arseny Tolmachev, Tomoyoshi Takebayashi, Koji Maruhashi, Hisashi Kashima

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Crowdsourcing Evaluation of Saliency-Based XAI Methods.

Xiaotian Lu, Arseny Tolmachev, Tatsuya Yamamoto, Koh Takeuchi, Seiji Okajima, Tomoyoshi Takebayashi, Koji Maruhashi, Hisashi Kashima

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021

Graph-based Massive Open Online Course (MOOC) Dropout Prediction using Clickstream Data in Virtual Learning Environment.

Izumi Nitta, Ryo Ishizaki, Masafumi Shingu, Satoshi Nakashima, Koji Maruhashi, Arseny Tolmachev, Masaru Todoriki

Proceedings of the 16th International Conference on Computer Science & Education, 2021

Semi-Automatic Reliable Explanations for Prediction in Graphs.

Masaru Todoriki, Masafumi Shingu, Shotaro Yano, Arseny Tolmachev, Tao Komikado, Koji Maruhashi

Proceedings of the 11th IEEE Annual Computing and Communication Workshop and Conference, 2021

2020

Linear Tensor Projection Revealing Nonlinearity.

Koji Maruhashi, Heewon Park, Rui Yamaguchi, Satoru Miyano

CoRR, 2020

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

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2016

TOPASE: Detection and Prevention of Brute Force Attacks with Disciplined IPs from IDS Logs.

Satomi Saito, Koji Maruhashi, Masahiko Takenaka, Satoru Torii

J. Inf. Process., 2016

2015

TOPASE: Detection of brute force attacks used disciplined IPs from IDS log.

Satomi Honda, Yuki Unno, Koji Maruhashi, Masahiko Takenaka, Satoru Torii

Proceedings of the IFIP/IEEE International Symposium on Integrated Network Management, 2015

2014

MultiAspectSpotting: Spotting Anomalous Behavior within Count Data Using Tensor.

Koji Maruhashi, Nobuhiro Yugami

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

2012

MultiAspectForensics: mining large heterogeneous networks using tensor.

Koji Maruhashi, Fan Guo, Christos Faloutsos

Int. J. Web Eng. Technol., 2012

EigenSP: A More Accurate Shortest Path Distance Estimation on Large-Scale Networks.

Koji Maruhashi, Junichi Shigezumi, Nobuhiro Yugami, Christos Faloutsos

Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

2011

MultiAspectForensics: Pattern Mining on Large-Scale Heterogeneous Networks with Tensor Analysis.

Koji Maruhashi, Fan Guo, Christos Faloutsos

Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2011

2010

Metric forensics: a multi-level approach for mining volatile graphs.

Keith Henderson, Tina Eliassi-Rad, Christos Faloutsos, Leman Akoglu, Lei Li, Koji Maruhashi, B. Aditya Prakash, Hanghang Tong

Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

EigenDiagnostics: Spotting Connection Patterns and Outliers in Large Graphs.

Koji Maruhashi, Christos Faloutsos

Proceedings of the ICDMW 2010, 2010

2006

Predicting Types of Protein-Protein Interactions Using a Multiple-Instance Learning Model.

Hiroshi Yamakawa, Koji Maruhashi, Yoshio Nakao

Proceedings of the New Frontiers in Artificial Intelligence, 2006

2005

Multi-Aspect Gene Relation Analysis.

Hiroshi Yamakawa, Koji Maruhashi, Yoshio Nakao, Mutsuyo Yamaguchi

Proceedings of the Biocomputing 2005, 2005