4 citations · 11 across the 6 of their papers we have counts for
Showing 2017 · cs.DBShow all
3 papers · 2 filters
cs.DB2017★ 4 cited
An Optimal and Progressive Approach to Online Search of Top-k Influential Communities
Fei Bi, Lijun Chang, Xuemin Lin +1
Community search over large graphs is a fundamental problem in graph analysis. Recent studies propose to compute top-k influential communities, where each reported community not on…
cs.DB2017
Efficient Graph Edit Distance Computation and Verification via Anchor-aware Lower Bound Estimation
Lijun Chang, Xing Feng, Xuemin Lin +2
Graph edit distance (GED) is an important similarity measure adopted in a similarity-based analysis between two graphs, and computing GED is a primitive operator in graph database…
cs.DB2017★ 4 cited
Enumerating k-Vertex Connected Components in Large Graphs
Dong Wen, Lu Qin, Xuemin Lin +2
Cohesive subgraph detection is an important graph problem that is widely applied in many application domains, such as social community detection, network visualization, and network…