HGPrompt: Bridging homogeneous and heterogeneous graphs for few-shot prompt learning
Graph neural networks (GNNs) and heterogeneous graph neural networks (HGNNs) are prominent techniques for homogeneous and heterogeneous graph representation learning, yet their performance in an end-to-end supervised framework greatly depends on the availability of task-specific supervision. To redu...
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Main Authors: | , , , |
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Format: | text |
Language: | English |
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Institutional Knowledge at Singapore Management University
2024
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Online Access: | https://ink.library.smu.edu.sg/sis_research/8712 https://ink.library.smu.edu.sg/context/sis_research/article/9715/viewcontent/29596_Article_Text_33650_1_2_20240324.pdf |
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Institution: | Singapore Management University |
Language: | English |