3 papers
cs.LG2026
Beyond the Laplacian: Doubly Stochastic Matrices for Graph Neural Networks
Zhaobo Hu, Vincent Gauthier, Mehdi Naima
Graph Neural Networks (GNNs) conventionally rely on standard Laplacian or adjacency matrices for structural message passing. In this work, we substitute the traditional Laplacian w…
cs.LG2026
Enhancing Spatio-Temporal Forecasting with Spatial Neighbourhood Fusion:A Case Study on COVID-19 Mobility in Peru
Chuan Li, Jiang You, Hassine Moungla +3
Accurate modeling of human mobility is critical for understanding epidemic spread and deploying timely interventions. In this work, we leverage a large-scale spatio-temporal datase…
cs.LG2025
DOVA-PATBM: An Intelligent, Adaptive, and Scalable Framework for Optimizing Large-Scale EV Charging Infrastructure
Chuan Li, Shunyu Zhao, Vincent Gauthier +1
The accelerating uptake of battery-electric vehicles demands infrastructure planning tools that are both data-rich and geographically scalable. Whereas most prior studies optimise…