Structure Evolution on Manifold for Graph Learning-Reference-Cited by-同舟云学术

Structure Evolution on Manifold for Graph Learning

Author:

Wan Hai¹^ORCID,Zhang Xinwei¹^ORCID,Zhang Yubo¹^ORCID,Zhao Xibin¹^ORCID,Ying Shihui²^ORCID,Gao Yue³^ORCID

Affiliation:

1. BNRist, KLISS, School of Software, Tsinghua University, Beijing, China

2. Department of Mathematics, School of Sciences, Shanghai University, Shanghai, China

3. BNRist, KLISS, School of Software, THUIBCS and BLBCI, Tsinghua University, Beijing, China

Funder

Key-Area Research and Development Program of Guangdong Province

NSFC

Open Research Projects of Zhejiang Lab

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software

Link

Reference50 articles.

1. Deep iterative and adaptive learning for graph neural networks;chen,2019

2. Matching networks for one shot learning;vinyals;Proc Adv Neural Informat Process Syst,2016

3. Few-shot learning with graph neural networks;satorras;Proc Int Conf Learn Representations,2018

4. Transductive few-shot learning with meta-learned confidence;kye,2020

5. Latent patient network learning for automatic diagnosis;cosmo,2020

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