75 citations · 75 across the 1 of their papers we have counts for
2 papers
cs.LG2021
Robust Graph Learning Under Wasserstein Uncertainty
Xiang Zhang, Yinfei Xu, Qinghe Liu +3
Graphs are playing a crucial role in different fields since they are powerful tools to unveil intrinsic relationships among signals. In many scenarios, an accurate graph structure…
physics.soc-ph2020★ 75 cited
Learning Geo-Contextual Embeddings for Commuting Flow Prediction
Zhicheng Liu, Fabio Miranda, Weiting Xiong +3
Predicting commuting flows based on infrastructure and land-use information is critical for urban planning and public policy development. However, it is a challenging task given th…