-
SOUP: Spatial-Temporal Demand Forecasting and Competitive Supply
We consider a setting with an evolving set of requests for transportatio...
read it
-
Infinitely Wide Graph Convolutional Networks: Semi-supervised Learning via Gaussian Processes
Graph convolutional neural networks (GCNs) have recently demonstrated pr...
read it
-
Recurrent Multi-Graph Neural Networks for Travel Cost Prediction
Origin-destination (OD) matrices are often used in urban planning, where...
read it
-
Learning to Route with Sparse Trajectory Sets---Extended Version
Motivated by the increasing availability of vehicle trajectory data, we ...
read it

Jilin Hu
is this you? claim profile