45 citations · 103 across the 13 of their papers we have counts for
4 papers · 1 filter
Inter-domain Multi-relational Link Prediction
Luu Huu Phuc, Koh Takeuchi, Seiji Okajima +4
Multi-relational graph is a ubiquitous and important data structure, allowing flexible representation of multiple types of interactions and relations between entities. Similar to o…
Discriminant Dynamic Mode Decomposition for Labeled Spatio-Temporal Data Collections
Naoya Takeishi, Keisuke Fujii, Koh Takeuchi +1
Extracting coherent patterns is one of the standard approaches towards understanding spatio-temporal data. Dynamic mode decomposition (DMD) is a powerful tool for extracting cohere…
Grab the Reins of Crowds: Estimating the Effects of Crowd Movement Guidance Using Causal Inference
Koh Takeuchi, Ryo Nishida, Hisashi Kashima +1
Crowd movement guidance has been a fascinating problem in various fields, such as easing traffic congestion in unusual events and evacuating people from an emergency-affected area.…
Non-linear Attributed Graph Clustering by Symmetric NMF with PU Learning
Seiji Maekawa, Koh Takeuch, Makoto Onizuka
We consider the clustering problem of attributed graphs. Our challenge is how we can design an effective and efficient clustering method that precisely captures the hidden relation…