Approximate personalized propagation for unsupervised embedding in heterogeneous graphs

• Main Authors: Chen, Yibi, Hu, Yikun, Li, Keqin, Yeo, Chai Kiat, Li, Kenli
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Computer science and engineering; Approximate Personalized Propagation; Heterogeneous Graphs
• Online Access: https://hdl.handle.net/10356/163878
• Institution: Nanyang Technological University

Graphs are effective for representing various relationships in the real world and have been successfully applied in many areas, such as publication citations and movie networks. Compared to homogeneous graphs (i.e., nodes and edges of a single relation type), heterogeneous graphs have heterogeneity...