Learning urban region representations with POIs and hierarchical graph infomax

Learning urban region representations with POIs and hierarchical graph infomax

We present the hierarchical graph infomax (HGI) approach for learning urban region representations (vector embeddings) with points-of-interest (POIs) in a fully unsupervised manner, which can be used in various downstream tasks. Specifically, HGI comprises several key steps: (1) training category em...

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書目詳細資料
Main Authors:	Huang, Weiming, Zhang, Daokun, Mai, Gengchen, Guo, Xu, Cui, Lizhen
其他作者:	School of Computer Science and Engineering
格式:	Article
語言:	English
出版:	2023
主題:	Engineering::Computer science and engineering Urban Region Embedding Hierarchical Graph Infomax
在線閱讀:	https://hdl.handle.net/10356/169131
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Nanyang Technological University
語言:	English

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