Region-Wise Attentive Multi-View Representation Learning For Urban Region Embedding

Author:

Chan Weiliang1ORCID,Ren Qianqian1ORCID

Affiliation:

1. Heilongjiang University, Harbin Shi, China

Funder

China Postdoctoral Science Foundation

Publisher

ACM

Reference28 articles.

1. Sami Abu-El-Haija Bryan Perozzi Rami Al-Rfou and Alex Alemi. 2018. Watch Your Step : Learning Node Embeddings via Graph Attention. arxiv: 1710.09599 [cs stat] Sami Abu-El-Haija Bryan Perozzi Rami Al-Rfou and Alex Alemi. 2018. Watch Your Step : Learning Node Embeddings via Graph Attention. arxiv: 1710.09599 [cs stat]

2. Bruce F Berg . 2007. New York City Politics : Governing Gotham . Rutgers University Press ( 2007 ), 352. https://doi.org/10.36019/9780813586694 10.36019/9780813586694 Bruce F Berg. 2007. New York City Politics : Governing Gotham. Rutgers University Press (2007), 352. https://doi.org/10.36019/9780813586694

3. Understanding user’s travel behavior and city region functions from station-free shared bike usage data

4. Peng Cui Xiao Wang Jian Pei and Wenwu Zhu. 2017. A Survey on Network Embedding. arxiv: 1711.08752 [cs] Peng Cui Xiao Wang Jian Pei and Wenwu Zhu. 2017. A Survey on Network Embedding. arxiv: 1711.08752 [cs]

5. Efficient Region Embedding with Multi-View Spatial Networks: A Perspective of Locality-Constrained Spatial Autocorrelations

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