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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Bibliografski detalji

Glavni autori:	Chao Deng, Xuexia Liang, Xu Yan, Yuhua Mo, Sen Bai, Bin Lu, Kaidi Chen, Xipeng Liu, Zhi Chen
Format:	Artigo
Jezik:	Inglês
Izdano:	IEEE 2024-01-01
Serija:	IEEE Access
Teme:	Graph convolutional networks POIs embedding aggregation strategy
Online pristup:	https://ieeexplore.ieee.org/document/10504261/
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