Multi-view graph representation with similarity diffusion for general zero-shot learning-Reference-Cited by-同舟云学术

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Multi-view graph representation with similarity diffusion for general zero-shot learning

Published:2023-09 Issue: Volume:166 Page:38-50
ISSN:0893-6080
Container-title:Neural Networks
language:en
Short-container-title:Neural Networks

Author:

Yu Beibei^ORCID,Xie Cheng^ORCID,Tang Peng^ORCID,Duan Haoran^ORCID

Funder

Yunnan Key Research and Development Program

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference78 articles.

1. Dbpedia: A nucleus for a web of open data;Auer,2007

2. Bayesian zero-shot learning;Badirli,2020

3. Graph barlow twins: A self-supervised representation learning framework for graphs;Bielak;Knowledge-Based Systems,2022

4. Knowledge-aware zero-shot learning: Survey and perspective;Chen,2021

5. Transzero: Attribute-guided transformer for zero-shot learning;Chen,2022

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Multi-Group Multi-Stream attribute Attention network for fine-grained zero-shot learning;Neural Networks;2024-11

2. Inductive reasoning with type-constrained encoding for emerging entities;Neural Networks;2024-10

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