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Explicit Feature Interaction-Aware Graph Neural Network

  • Published:2024 Issue: Volume:12 Page:15438-15446
  • ISSN:2169-3536
  • Container-title:IEEE Access
  • language:
  • Short-container-title:IEEE Access

Author:

Kim Minkyu1ORCID,Choi Hyun-Soo2ORCID,Kim Jinho3ORCID

Affiliation:

1. Department of Research and Development, Ziovision Company Ltd., Chuncheon, Republic of Korea

2. Department of Computer Science and Engineering, Seoul National University of Science and Technology, Seoul, Republic of Korea

3. Department of Computer Science and Engineering, Kangwon National University, Chuncheon, Republic of Korea

Funder

National Research Foundation of Korea (NRF) Grant

Korean Government

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Reference42 articles.

1. Graph convolutional matrix completion;van den Berg;arXiv:1706.02263,2017

2. How attentive are graph attention networks?;Brody

3. FastGCN: Fast learning with graph convolutional networks via importance sampling;Chen

4. Simple and deep graph convolutional networks;Chen

5. Learnable graph convolutional network and feature fusion for multi-view learning

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