Spatio-Temporal Dynamic Graph Relation Learning for Urban Metro Flow Prediction
Author:
Affiliation:
1. School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, P.R. China
2. Tencent Inc., Shenzhen, Guangdong, China
3. JD iCity, JD Technology, Beijing, China
Funder
National Key R&D Program of China
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computational Theory and Mathematics,Computer Science Applications,Information Systems
Link
http://xplorestaging.ieee.org/ielx7/69/10251471/10107812.pdf?arnumber=10107812
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1. Learning Deep Representation from Big and Heterogeneous Data for Traffic Accident Inference
2. Physical-virtual collaboration graph network for station-level metro ridership prediction;chen,2020
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5. GMAN: A Graph Multi-Attention Network for Traffic Prediction
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