57 citations · 118 across the 6 of their papers we have counts for
6 papers
DIG: A Turnkey Library for Diving into Graph Deep Learning Research
Meng Liu, Youzhi Luo, Limei Wang +13
Although there exist several libraries for deep learning on graphs, they are aiming at implementing basic operations for graph deep learning. In the research community, implementin…
Spherical Message Passing for 3D Graph Networks
Yi Liu, Limei Wang, Meng Liu +3
We consider representation learning of 3D molecular graphs in which each atom is associated with a spatial position in 3D. This is an under-explored area of research, and a princip…
GraphEBM: Molecular Graph Generation with Energy-Based Models
Meng Liu, Keqiang Yan, Bora Oztekin +1
We note that most existing approaches for molecular graph generation fail to guarantee the intrinsic property of permutation invariance, resulting in unexpected bias in generative…
Unveiling Spatial Patterns of Disaster Impacts and Recovery Using Credit Card Transaction Variances
Faxi Yuan, Amir Esmalian, Bora Oztekin +1
The objective of this study is to examine spatial patterns of impacts and recovery of communities based on variances in credit card transactions. Such variances could capture the c…
Unraveling the Dynamic Importance of County-level Features in Trajectory of COVID-19
Qingchun Li, Yang Yang, Wangqiu Wang +6
The objective of this study was to investigate the importance of multiple county-level features in the trajectory of COVID-19. We examined feature importance across 2,787 counties…
Effects of Population Co-location Reduction on Cross-county Transmission Risk of COVID-19 in the United States
Chao Fan, Sanghyeon Lee, Yang Yang +3
The rapid spread of COVID-19 in the United States has imposed a major threat to public health, the real economy, and human well-being. With the absence of effective vaccines, the p…