2 citations · 3 across the 5 of their papers we have counts for
5 papers
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…
Adaptive Network Embedding with Arbitrary Multiple Information Sources in Attributed Graphs
Meng Qin
Graph representation learning (a.k.a. network embedding) is a significant topic of network analysis, due to its effectiveness to support various graph inference tasks. In this pape…
Semantic Random Walk for Graph Representation Learning in Attributed Graphs
Meng Qin
In this study, we focus on the graph representation learning (a.k.a. network embedding) in attributed graphs. Different from existing embedding methods that treat the incorporation…
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…