Hierarchical Knowledge Graph Learning Enabled Socioeconomic Indicator Prediction in Location-Based Social Network

Author:

Zhou Zhilun1ORCID,Liu Yu1ORCID,Ding Jingtao1ORCID,Jin Depeng1ORCID,Li Yong1ORCID

Affiliation:

1. Tsinghua University, China

Publisher

ACM

Reference38 articles.

1. Predicting neighborhoods’ socioeconomic attributes using restaurant data

2. A gridded establishment dataset as a proxy for economic activity in China

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

4. Mikhail Galkin , Etienne Denis , Jiapeng Wu , and William  L Hamilton . 2021 . Nodepiece: Compositional and parameter-efficient representations of large knowledge graphs. arXiv preprint arXiv:2106.12144 (2021). Mikhail Galkin, Etienne Denis, Jiapeng Wu, and William L Hamilton. 2021. Nodepiece: Compositional and parameter-efficient representations of large knowledge graphs. arXiv preprint arXiv:2106.12144 (2021).

5. node2vec

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