May 13, 2024, 4:42 a.m. | Yili Wang

cs.LG updates on

arXiv:2405.06522v1 Announce Type: new
Abstract: In recent years, heterogeneous graph neural networks (HGNNs) have achieved excellent performance in handling heterogeneous information networks (HINs). Curriculum learning is a machine learning strategy where training examples are presented to a model in a structured order, starting with easy examples and gradually increasing difficulty, aiming to improve learning efficiency and generalization. To better exploit the rich information in HINs, previous methods have started to explore the use of curriculum learning strategy to train HGNNs. …

arxiv cs.lg curriculum curriculum learning graph graph neural networks loss networks neural networks type

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