MultiGPrompt for multi-task pre-training and prompting on graphs

Graph Neural Networks (GNNs) have emerged as a mainstream technique for graph representation learning. However, their efficacy within an end-to-end supervised framework is significantly tied to the availability of task-specific labels. To mitigate labeling costs and enhance robustness in few-shot se...

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Bibliographic Details
Main Authors: YU, Xingtong, ZHOU, Chang, FANG, Yuan, ZHAN, Xinming
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/8711
https://ink.library.smu.edu.sg/context/sis_research/article/9714/viewcontent/Multi_task_Graph_Prompt__Camera_ready_.pdf
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Institution: Singapore Management University
Language: English
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