104 citations · 147 across the 43 of their papers we have counts for
4 papers · 1 filter
Pre-train and Refine: Towards Higher Efficiency in K-Agnostic Community Detection without Quality Degradation
Meng Qin, Chaorui Zhang, Yu Gao +2
Community detection (CD) is a classic graph inference task that partitions nodes of a graph into densely connected groups. While many CD methods have been proposed with either impr…
IRWE: Inductive Random Walk for Joint Inference of Identity and Position Network Embedding
Meng Qin, Dit-Yan Yeung
Network embedding, which maps graphs to distributed representations, is a unified framework for various graph inference tasks. According to the topology properties (e.g., structura…
Temporal Link Prediction: A Unified Framework, Taxonomy, and Review
Meng Qin, Dit-Yan Yeung
Dynamic graphs serve as a generic abstraction and description of the evolutionary behaviors of various complex systems (e.g., social networks and communication networks). Temporal…
Trading off Quality for Efficiency of Community Detection: An Inductive Method across Graphs
Meng Qin, Chaorui Zhang, Bo Bai +2
Many network applications can be formulated as NP-hard combinatorial optimization problems of community detection (CD). Due to the NP-hardness, to balance the CD quality and effici…