53 citations · 154 across the 36 of their papers we have counts for
5 papers · 1 filter
Decoding Urban-health Nexus: Interpretable Machine Learning Illuminates Cancer Prevalence based on Intertwined City Features
Chenyue Liu, Ali Mostafavi
This study investigates the interplay among social demographics, built environment characteristics, and environmental hazard exposure features in determining community level cancer…
Graph Attention Networks Unveil Determinants of Intra- and Inter-city Health Disparity
Chenyue Liu, Chao Fan, Ali Mostafavi
Understanding the determinants underlying variations in urban health status is important for informing urban design and planning, as well as public health policies. Multiple hetero…
Attributed Network Embedding Model for Exposing COVID-19 Spread Trajectory Archetypes
Junwei Ma, Bo Li, Qingchun Li +2
The spread of COVID-19 revealed that transmission risk patterns are not homogenous across different cities and communities, and various heterogeneous features can influence the spr…
FMP: Toward Fair Graph Message Passing against Topology Bias
Zhimeng Jiang, Xiaotian Han, Chao Fan +4
Despite recent advances in achieving fair representations and predictions through regularization, adversarial debiasing, and contrastive learning in graph neural networks (GNNs), t…
Spatio-Temporal Graph Convolutional Networks for Road Network Inundation Status Prediction during Urban Flooding
Faxi Yuan, Yuanchang Xu, Qingchun Li +1
The objective of this study is to predict the near-future flooding status of road segments based on their own and adjacent road segments current status through the use of deep lear…