Gradient boosted graph convolutional network on heterophilic graph

Gradient boosted graph convolutional network on heterophilic graph

Graph Neural Networks (GNNs) are impressive models that have been highly successful in performing graphical analysis and learning. However, GNNs are known to be outstanding in learning from homophilic graphs but are subpar in learning from heterophilic graphs. On the other hand, Gradient Boosted Dec...

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書目詳細資料
主要作者:	Seah, Ming Yang
其他作者:	Tay Wee Peng
格式:	Final Year Project
語言:	English
出版:	Nanyang Technological University 2024
主題:	Engineering Gradient Boosting Convolutional
在線閱讀:	https://hdl.handle.net/10356/176770
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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