285 citations · 329 across the 4 of their papers we have counts for
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eess.SP2020★ 285 cited
How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey
Jiexia Ye, Juanjuan Zhao, Kejiang Ye +1
In recent years, various deep learning architectures have been proposed to solve complex challenges (e.g. spatial dependency, temporal dependency) in traffic domain, which have ach…
q-fin.ST2020★ 39 cited
Multi-Graph Convolutional Network for Relationship-Driven Stock Movement Prediction
Jiexia Ye, Juanjuan Zhao, Kejiang Ye +1
Stock price movement prediction is commonly accepted as a very challenging task due to the volatile nature of financial markets. Previous works typically predict the stock price ma…