Global Attention-Based Graph Neural Networks for Node Classification-Reference-Cited by-同舟云学术

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Global Attention-Based Graph Neural Networks for Node Classification

Published:2022-10-02 Issue: Volume: Page:
ISSN:1370-4621
Container-title:Neural Processing Letters
language:en
Short-container-title:Neural Process Lett

Author:

Chen Jiusheng^ORCID,Fang Chengyuan,Zhang Xiaoyu

Funder

scientific research project of tianjin municipal education commission

Tianjin Research Innovation Project for Postgraduate Students

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software

Link

https://link.springer.com/content/pdf/10.1007/s11063-022-11032-z.pdf

Reference49 articles.

1. Gonzalez J, Yu W (2018) Non-linear system modeling using LSTM neural networks. IFAC-PapersOnLine 51(13):485–489

2. Liu L, Gao T, Liu YJ, Tong S, Chen CP, Ma L (2021) Time-varying IBLFs-based adaptive control of uncertain nonlinear systems with full state constraints. Automatica 129:109595

3. Liu L, Liu YJ, Chen A, Tong S, Chen CL (2020) Integral barrier Lyapunov function-based adaptive control for switched nonlinear systems. Sci China Inf Sci 63(3):1–14

4. Liang H, Guo X, Pan Y, Huang T (2020) Event-triggered fuzzy bipartite tracking control for network systems based on distributed reduced-order observers. IEEE Trans Fuzzy Syst 29(6):1601–1614

5. Fan H, Wang H, Xia S, Li X, Xu P, Gao Y (2021) Review of modeling and simulation methods for cyber physical power system. Front Energy Res 9:642997

Cited by 3 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. Multi-head multi-order graph attention networks;Applied Intelligence;2024-06-20

2. A novel dominating set and centrality based graph convolutional network for node classification;Multimedia Tools and Applications;2024-06-07

3. Graph embedding and geometric deep learning relevance to network biology and structural chemistry;Frontiers in Artificial Intelligence;2023-11-16

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