Dynamic meta-path guided temporal heterogeneous graph neural networks

• Main Authors: JI, Yugang, SHI, Chuan, FANG, Yuan
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Temporal heterogeneous graph; graph neural network; dynamic meta-path; temporal importance sampling; heterogeneous mutual evolution attention; Graphics and Human Computer Interfaces; OS and Networks
• Online Access: https://ink.library.smu.edu.sg/sis_research/8926; https://ink.library.smu.edu.sg/context/sis_research/article/9929/viewcontent/DyMGNN.pdf
• Institution: Singapore Management University

Graph Neural Networks (GNNs) have become the de facto standard for representation learning on topological graphs, which usually derive effective node representations via message passing from neighborhoods. Although GNNs have achieved great success, previous models are mostly confined to static and h...