Graph Neural Network: A Comprehensive Review on Non-Euclidean Space-Reference-Cited by-同舟云学术

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Graph Neural Network: A Comprehensive Review on Non-Euclidean Space

Published:2021 Issue: Volume:9 Page:60588-60606
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Asif Nurul A.^ORCID,Sarker Yeahia^ORCID,Chakrabortty Ripon K.^ORCID,Ryan Michael J.^ORCID,Ahamed Md. Hafiz^ORCID,Saha Dip K.^ORCID,Badal Faisal R.^ORCID,Das Sajal K.^ORCID,Ali Md. Firoz,Moyeen Sumaya I.^ORCID,Islam Md. Robiul,Tasneem Zinat

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9312710/09395439.pdf?arnumber=9395439

Cited by 95 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. Weighted graph convolutional network with feature mask for low back pain prediction;Biomedical Signal Processing and Control;2025-01

2. GECRAN: Graph embedding based convolutional recurrent attention network for traffic flow prediction;Expert Systems with Applications;2024-12

3. Enhanced multi-scenario running safety assessment of railway bridges based on graph neural networks with self-evolutionary capability;Engineering Structures;2024-11

4. A novel graph neural network framework with self-evolutionary mechanism: Application to train-bridge coupled systems;Advances in Engineering Software;2024-11

5. DGSD: Dynamical graph self-distillation for EEG-based auditory spatial attention detection;Neural Networks;2024-11

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