Relative and absolute location embedding for few-shot node classification on graph
Node classification is an important problem on graphs. While recent advances in graph neural networks achieve promising performance, they require abundant labeled nodes for training. However, in many practical scenarios there often exist novel classes in which only one or a few labeled nodes are ava...
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Main Authors: | LIU, Zemin, FANG, Yuan, LIU, Chenghao, HOI, Steven C. H. |
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Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2021
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Online Access: | https://ink.library.smu.edu.sg/sis_research/6178 https://ink.library.smu.edu.sg/context/sis_research/article/7181/viewcontent/AAAI21_RALE.pdf |
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Institution: | Singapore Management University |
Language: | English |
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