53 citations · 114 across the 19 of their papers we have counts for
4 papers · 1 filter
Chasing Fairness in Graphs: A GNN Architecture Perspective
Zhimeng Jiang, Xiaotian Han, Chao Fan +4
There has been significant progress in improving the performance of graph neural networks (GNNs) through enhancements in graph data, model architecture design, and training strateg…
FairMobi-Net: A Fairness-aware Deep Learning Model for Urban Mobility Flow Generation
Zhewei Liu, Lipai Huang, Chao Fan +1
Generating realistic human flows across regions is essential for our understanding of urban structures and population activity patterns, enabling important applications in the fiel…
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…