Joint Urban Modeling With Graph Convolutional Networks and Crowdsourced Data: A Novel Approach

Graph Convolutional Networks (GCN) are a potent and adaptable tool for effectively processing and analyzing continuous spatial data. Despite the substantial potential of GCN in various domains, most existing spatial data prediction models are confined to defining weights solely based on distance. To...

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Bibliografiske detaljer

Principais autores:	Chao Deng, Xuexia Liang, Xu Yan, Yuhua Mo, Sen Bai, Bin Lu, Kaidi Chen, Xipeng Liu, Zhi Chen
Format:	Artigo
Sprog:	Inglês
Udgivet:	IEEE 2024-01-01
Serier:	IEEE Access
Fag:	Graph convolutional networks POIs embedding aggregation strategy
Online adgang:	https://ieeexplore.ieee.org/document/10504261/
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