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cs.LG2024★ 5 cited
Meta-GPS++: Enhancing Graph Meta-Learning with Contrastive Learning and Self-Training
Yonghao Liu, Mengyu Li, Ximing Li +5
Node classification is an essential problem in graph learning. However, many models typically obtain unsatisfactory performance when applied to few-shot scenarios. Some studies hav…
cs.LG2021
Variational Wasserstein Barycenters with c-Cyclical Monotonicity
Jinjin Chi, Zhiyao Yang, Jihong Ouyang +1
Wasserstein barycenter, built on the theory of optimal transport, provides a powerful framework to aggregate probability distributions, and it has increasingly attracted great atte…