Meta-inductive node classification across graphs

Meta-inductive node classification across graphs

Semi-supervised node classification on graphs is an important research problem, with many real-world applications in information retrieval such as content classification on a social network and query intent classification on an e-commerce query graph. While traditional approaches are largely transdu...

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書目詳細資料
Main Authors:	WEN, Zhihao, FANG, Yuan, LIU, Zemin
格式:	text
語言:	English
出版:	Institutional Knowledge at Singapore Management University 2021
主題:	graph neural networks semi-supervised node classification inductive graph model meta-learning Artificial Intelligence and Robotics Databases and Information Systems
在線閱讀:	https://ink.library.smu.edu.sg/sis_research/6883 https://ink.library.smu.edu.sg/context/sis_research/article/7886/viewcontent/SIGIR21_MIGNN.pdf
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Singapore Management University
語言:	English

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