Multi-Temporal Relationship Inference in Urban Areas

Author:

Li Shuangli1ORCID,Zhou Jingbo2ORCID,Liu Ji2ORCID,Xu Tong3ORCID,Chen Enhong4ORCID,Xiong Hui5ORCID

Affiliation:

1. University of Science and Technology of China & Baidu Research, Hefei, China

2. Baidu Research, Beijing, China

3. University of Science and Technology of China & State Key Laboratory of Cognitive Intelligenc, Beijing, China

4. University of Science and Technology of China & State Key Laboratory of Cognitive Intelligence, Hefei, China

5. The Hong Kong University of Science and Technology (Guangzhou) & The Hong Kong University of Science and Technology, Guangzhou, China

Funder

National Natural Science Foundation of China

Publisher

ACM

Reference50 articles.

1. Sami Abu-El-Haija , Bryan Perozzi , Amol Kapoor , Nazanin Alipourfard , Kristina Lerman , Hrayr Harutyunyan , Greg Ver Steeg, and Aram Galstyan . 2019 . Mixhop : Higher-order graph convolutional architectures via sparsified neighborhood mixing. In ICML. PMLR , 21--29. Sami Abu-El-Haija, Bryan Perozzi, Amol Kapoor, Nazanin Alipourfard, Kristina Lerman, Hrayr Harutyunyan, Greg Ver Steeg, and Aram Galstyan. 2019. Mixhop: Higher-order graph convolutional architectures via sparsified neighborhood mixing. In ICML. PMLR, 21--29.

2. Building and exploiting spatial–temporal knowledge graph for next POI recommendation

3. Points-of-interest relationship inference with spatial-enriched graph neural networks;Chen Yile;PVLDB,2022

4. Moshe Eliasof Eldad Haber and Eran Treister. 2022. pathgcn: Learning general graph spatial operators from paths. In ICML. PMLR 5878--5891. Moshe Eliasof Eldad Haber and Eran Treister. 2022. pathgcn: Learning general graph spatial operators from paths. In ICML. PMLR 5878--5891.

5. Dual-grained human mobility learning for location-aware trip recommendation with spatial–temporal graph knowledge fusion

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