Alternately Optimized Graph Neural Networks

Graph Neural Networks (GNNs) have greatly advanced the semi-supervised node classification task on graphs. The majority of existing GNNs are trained in an end-to-end manner that can be viewed as tackling a bi-level optimization problem. This process is often inefficient in computation and memory usa...

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Veröffentlicht in:	arXiv.org 2023-07
Hauptverfasser:	Han, Haoyu, Liu, Xiaorui, Mao, Haitao, Torkamani, MohamadAli, Shi, Feng, Lee, Victor, Tang, Jiliang
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Graph neural networks Graphical representations Optimization Training
Online-Zugang:	Volltext
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