Global disentangled graph convolutional neural network based on a graph topological metric-Reference-Cited by-同舟云学术

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Global disentangled graph convolutional neural network based on a graph topological metric

Published:2024-01 Issue: Volume:284 Page:111283
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Liu Wenzhen,Zhou Guoqiang^ORCID,Mao Xiaoyu,Bao ShuDi,Li Haoran^ORCID,Shi Jiahua^ORCID,Chen Huaming,Shen Jun^ORCID,Huang Yuanming^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference48 articles.

1. DeepWalk: online learning of social representations;Perozzi,2014

2. Node2vec: Scalable feature learning for networks;Grover,2016

3. LINE: large-scale information network embedding;Tang,2015

4. Graph attention networks;Velickovic,2018

5. Inductive representation learning on large graphs;Hamilton,2017

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. Design and Control of an Ultra-Low-Cost Logistic Delivery Fixed-Wing UAV;Applied Sciences;2024-05-21

2. Pseudo Labeling Collaborative Embedding Representation: A Multi-Channel GCNs Framework for Semi-Supervised Node Classification;IEEE Access;2024

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