Motif graph neural network

Graphs can model complicated interactions between entities, which naturally emerge in many important applications. These applications can often be cast into standard graph learning tasks, in which a crucial step is to learn low-dimensional graph representations. Graph neural networks (GNNs) are curr...

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Bibliographic Details
Main Authors: CHEN, Xuexin, CAI, Ruicui, FANG, Yuan, WU, Min, LI, Zijian, HAO, Zhifeng
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2023
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Online Access:https://ink.library.smu.edu.sg/sis_research/9319
https://ink.library.smu.edu.sg/context/sis_research/article/10319/viewcontent/MotifGraphNeuralNetword_av.pdf
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Institution: Singapore Management University
Language: English