A Fast and Robust Attention-Free Heterogeneous Graph Convolutional Network-Reference-Cited by-同舟云学术

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A Fast and Robust Attention-Free Heterogeneous Graph Convolutional Network

Published:2024-10 Issue:5 Volume:10 Page:669-681
ISSN:2332-7790
Container-title:IEEE Transactions on Big Data
language:
Short-container-title:IEEE Trans. Big Data

Author:

Yan Yeyu¹^ORCID,Zhao Zhongying²^ORCID,Yang Zhan²^ORCID,Yu Yanwei³^ORCID,Li Chao¹^ORCID

Affiliation:

1. College of Electronic and Information Engineering, Shandong University of Science and Technology, Qingdao, China

2. College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, China

3. College of Computer Science and Technology, Ocean University of China, Qingdao, China

Funder

National Natural Science Foundation of China

Taishan Scholar Program of Shandong Province

Natural Science Foundation of Shandong Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6687317/10663875/10463147.pdf?arnumber=10463147

Reference32 articles.

1. Joint Stance and Rumor Detection in Hierarchical Heterogeneous Graph

2. Heterogeneous Graph Attention Network

3. Item Relationship Graph Neural Networks for E-Commerce

4. Self-supervised Graph Neural Networks for Multi-behavior Recommendation

5. Heterogeneous Graph Neural Network via Attribute Completion

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