The H4M dataset contains data on real estate transactions, points of interest, traffic patterns and micro-blogging trends from Beijing, China. [Download]
Publications
H4M: Heterogeneous, Multi-source, Multi-modal, Multi-view and Multi-distributional Dataset for Socioeconomic Analytics in Case of Beijing
Yaping Zhao,
Shuhui Shi, Ramgopal Ravi, Zhongrui Wang, Edmund Y. Lam, Jichang Zhao
[Paper][Download]
Large-Scale Traffic Congestion Prediction based on Multimodal Fusion and Representation Mapping
Bodong Zhou, Jiahui Liu, Songyi Cui, Yaping Zhao,
[Paper][Code]
PATE: Property, Amenities, Traffic and Emotions Coming Together for Real Estate Price Prediction
Yaping Zhao,
Ramgopal Ravi, Shuhui Shi, Zhongrui Wang, Edmund Y. Lam, Jichang Zhao
[Paper][Code]