Graph Neural Network Training From Data Management Perspective [#1032514]

Graph Neural Network Training: From Data Management Perspective
(Machine Learning: Foundations, Methodologies, and Applications)
English | 2026 | ISBN: 9819557941 | 199 Pages | PDF EPUB (True) | 46 MB
Graph Neural Networks (GNNs) have revolutionized the way we learn representations from graph-structured data, becoming a cornerstone for applications in social networks, recommendation systems, biology, and beyond. However, mainstream GNNs rely heavily on message passing, an iterative process of propagating information between connected nodes. While powerful, this method often incurs significant computational costs, making efficient training a growing challenge as graph sizes scale up.
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