10 citations · 22 across the 3 of their papers we have counts for
4 papers
Stochastic Solutions for Dense Subgraph Discovery in Multilayer Networks
Yasushi Kawase, Atsushi Miyauchi, Hanna Sumita
Network analysis has played a key role in knowledge discovery and data mining. In many real-world applications in recent years, we are interested in mining multilayer networks, whe…
A Projected Gradient Method for Opinion Optimization with Limited Changes of Susceptibility to Persuasion
Naoki Marumo, Atsushi Miyauchi, Akiko Takeda +1
Many social phenomena are triggered by public opinion that is formed in the process of opinion exchange among individuals. To date, from the engineering point of view, a large body…
Online Dense Subgraph Discovery via Blurred-Graph Feedback
Yuko Kuroki, Atsushi Miyauchi, Junya Honda +1
Dense subgraph discovery aims to find a dense component in edge-weighted graphs. This is a fundamental graph-mining task with a variety of applications and thus has received much a…
Finding Cheeger Cuts in Hypergraphs via Heat Equation
Masahiro Ikeda, Atsushi Miyauchi, Yuuki Takai +1
Cheeger's inequality states that a tightly connected subset can be extracted from a graph using an eigenvector of the normalized Laplacian associated with . More specificall…