Harnessing collective structure knowledge in data augmentation for graph neural networks
Graph neural networks (GNNs) have achieved state-of-the-art performance in graph representation learning. Message passing neural networks, which learn representations through recursively aggregating information from each node and its neighbors, are among the most commonly-used GNNs. However, a wealt...
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المؤلفون الرئيسيون: | , , |
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التنسيق: | text |
اللغة: | English |
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Institutional Knowledge at Singapore Management University
2024
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الموضوعات: | |
الوصول للمادة أونلاين: | https://ink.library.smu.edu.sg/sis_research/9289 https://ink.library.smu.edu.sg/context/sis_research/article/10289/viewcontent/HarnessingCollectiveStructureK_GNN_sv.pdf |
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المؤسسة: | Singapore Management University |
اللغة: | English |