Dynamic meta-path guided temporal heterogeneous graph neural networks

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...

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Bibliographic Details
Main Authors: JI, Yugang, SHI, Chuan, FANG, Yuan
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2024
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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
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Institution: Singapore Management University
Language: English

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