2 papers
cs.SI2023
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…
cs.SI2023
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…