A Survey of Few-Shot Learning on Graphs: from Meta-Learning to Pre-Training and Prompt Learning

Graph representation learning, a critical step in graph-centric tasks, has seen significant advancements. Earlier techniques often operate in an end-to-end setting, which heavily rely on the availability of ample labeled data. This constraint has spurred the emergence of few-shot learning on graphs,...

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Veröffentlicht in:	arXiv.org 2024-09
Hauptverfasser:	Yu, Xingtong, Yuan, Fang, Liu, Zemin, Wu, Yuxia, Wen, Zhihao, Jianyuan Bo, Zhang, Xinming, Hoi, Steven C H
Format:	Artikel
Sprache:	eng
Schlagworte:	Availability Graph representations Graphical representations Graphs Learning Taxonomy Training
Online-Zugang:	Volltext
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