Learning a mixture of graph neural networks

GNN models are designed to handle complex and non-uniform graph-structured data for classification tasks such as node, link, and graph-level predictions. However, the randomness and unfixed node ordering of graph data still proposes a challenge to GNN models. To improve the accuracy of GNN mod...

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書目詳細資料
主要作者: Lai, Yu-Shiang
其他作者: Tay Wee Peng
格式: Final Year Project
語言:English
出版: Nanyang Technological University 2023
主題:
在線閱讀:https://hdl.handle.net/10356/167150
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