Generalized graph prompt: Toward a unification of pre-training and downstream tasks on graphs

Graphs can model complex relationships between objects, enabling a myriad of Web applications such as online page/article classification and social recommendation. While graph neural networks (GNNs) have emerged as a powerful tool for graph representation learning, in an end-to-end supervised settin...

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Bibliographic Details
Main Authors: YU, Xingtong, LIU, Zhenghao, FANG, Yuan, et al.
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/9703
https://ink.library.smu.edu.sg/context/sis_research/article/10703/viewcontent/TKDE24_GeneralizedGraphPrompt.pdf
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Institution: Singapore Management University
Language: English