13 citations · 18 across the 3 of their papers we have counts for
3 papers
cs.LG2022
STONet: A Neural-Operator-Driven Spatio-temporal Network
Haitao Lin, Guojiang Zhao, Lirong Wu +1
Graph-based spatio-temporal neural networks are effective to model the spatial dependency among discrete points sampled irregularly from unstructured grids, thanks to the great exp…
cs.LG2021★ 13 cited
Self-supervised Learning on Graphs: Contrastive, Generative,or Predictive
Lirong Wu, Haitao Lin, Zhangyang Gao +2
Deep learning on graphs has recently achieved remarkable success on a variety of tasks, while such success relies heavily on the massive and carefully labeled data. However, precis…
cs.LG2021★ 5 cited
Conditional Local Convolution for Spatio-temporal Meteorological Forecasting
Haitao Lin, Zhangyang Gao, Yongjie Xu +3
Spatio-temporal forecasting is challenging attributing to the high nonlinearity in temporal dynamics as well as complex location-characterized patterns in spatial domains, especial…