activity
20222025
most citedEffective and Efficient Core Computation in Signed Networks

11 citations · 19 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SI2025★ 5 cited

Experimental Analysis and Evaluation of Cohesive Subgraph Discovery

Dahee Kim, Song Kim, Jeongseon Kim +4

Retrieving cohesive subgraphs in networks is a fundamental problem in social network analysis and graph data management. These subgraphs can be used for marketing strategies or rec…

cs.SI2024★ 1 cited

Beyond Trivial Edges: A Fractional Approach to Cohesive Subgraph Detection in Hypergraphs

Hyewon Kim, Woocheol Shin, Dahee Kim +3

Hypergraphs serve as a powerful tool for modeling complex relationships across domains like social networks, transactions, and recommendation systems. The (k,g)-core model effectiv…

cs.SD2023★ 1 cited

A Unified Compression Framework for Efficient Speech-Driven Talking-Face Generation

Bo-Kyeong Kim, Jaemin Kang, Daeun Seo +5

Virtual humans have gained considerable attention in numerous industries, e.g., entertainment and e-commerce. As a core technology, synthesizing photorealistic face frames from tar…

cs.SI2022★ 1 cited

LUEM : Local User Engagement Maximization in Networks

Junghoon Kim, Jungeun Kim, Hyun Ji Jeong +1

Understanding a social network is a fundamental problem in social network analysis because of its numerous applications. Recently, user engagement in networks has received extensiv…

cs.SI2022★ 11 cited

Effective and Efficient Core Computation in Signed Networks

Junghoon Kim, Sungsu Lim, Jungeun Kim

With the proliferation of mobile technology and IT development, people can use social network services at any place and anytime. Among many social network mining problems, identify…