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...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: MA, Rongrong, PANG, Guansong, CHEN, Ling
التنسيق: text
اللغة:English
منشور في: Institutional Knowledge at Singapore Management University 2024
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
الوسوم: إضافة وسم
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المؤسسة: Singapore Management University
اللغة: English