Learning to pre-train graph neural networks
Graph neural networks (GNNs) have become the de facto standard for representation learning on graphs, which derive effective node representations by recursively aggregating information from graph neighborhoods. While GNNs can be trained from scratch, pre-training GNNs to learn transferable knowledge...
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Main Authors: | , , , |
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Format: | text |
Language: | English |
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Institutional Knowledge at Singapore Management University
2021
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Online Access: | https://ink.library.smu.edu.sg/sis_research/6125 https://ink.library.smu.edu.sg/context/sis_research/article/7128/viewcontent/16552_Article_Text_20046_1_2_20210518.pdf |
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Institution: | Singapore Management University |
Language: | English |
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