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cs.LG2026
GUIDED Network-Agnostic Feature Initialization for Spatial Transferability in GNN-based Models
Alessandro Scalese, Santhanakrishnan Narayanan, Constantinos Antoniou
The Traffic Assignment Problem is a fundamental but computationally expensive component of transportation planning. While Graph Neural Networks have emerged as fast, data-driven su…
cs.LG2024
Development of a graph neural network surrogate for travel demand modelling
Nikita Makarov, Santhanakrishnan Narayanan, Constantinos Antoniou
As urban environments grow, the modelling of transportation systems becomes increasingly complex. This paper advances the field of travel demand modelling by introducing advanced G…