activity
20122023
most citedEfficient Estimation of Heat Kernel PageRank for Local Clustering

33 citations · 92 across the 17 of their papers we have counts for

collaborators

18 papers

cs.DS2023

Fairness-aware Maximal Biclique Enumeration on Bipartite Graphs

Ziqi Yin, Qi Zhang, Wentao Zhang +2

Maximal biclique enumeration is a fundamental problem in bipartite graph data analysis. Existing biclique enumeration methods mainly focus on non-attributed bipartite graphs and al…

cs.DS2023★ 1 cited

Query-Centered Temporal Community Search via Time-Constrained Personalized PageRank

Longlong Lin, Pingpeng Yuan, Rong-Hua Li +4

Existing temporal community search suffers from two defects: (i) they ignore the temporal proximity between the query vertex and other vertices but simply require the result to…

cs.DS2022★ 1 cited

Scalable and Effective Conductance-based Graph Clustering

Longlong Lin, Rong-Hua Li, Tao Jia

Conductance-based graph clustering has been recognized as a fundamental operator in numerous graph analysis applications. Despite the significant success of conductance-based graph…

cs.DS2022★ 2 cited

Scaling Up Maximal k-plex Enumeration

Qiangqiang Dai, Rong-Hua Li, Hongchao Qin +2

Finding all maximal -plexes on networks is a fundamental research problem in graph analysis due to many important applications, such as community detection, biological graph ana…

cs.DB2021

Efficient Top-k Ego-Betweenness Search

Qi Zhang, Rong-Hua Li, Minjia Pan +3

Betweenness centrality, measured by the number of times a vertex occurs on all shortest paths of a graph, has been recognized as a key indicator for the importance of a vertex in t…

cs.DB2021★ 1 cited

Fairness-aware Maximal Clique in Large Graphs: Concepts and Algorithms

Qi Zhang, Rong-Hua Li, Minjia Pan +3

Cohesive subgraph mining on attributed graphs is a fundamental problem in graph data analysis. Existing cohesive subgraph mining algorithms on attributed graphs do not consider the…