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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Main Authors: | YU, Xingtong, ZHOU, Chang, FANG, Yuan, ZHAN, Xinming |
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Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2024
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Subjects: | |
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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