Supporting repository for "A Systematic Literature Review of Spatio-Temporal Graph Neural Network Models for Time Series Forecasting and Classification"
Pytorch implementation of the Spatio-temporal GNN to cluster correlated time series
Enhancing Spatiotemporal Supply Chain Forecasting Using Virtual Node-Augmented Graph Diffusion for Improved Fuel Efficiency
Adaptive gated spatio-temporal graph network with learnable climate lags for dengue early warning in Sri Lanka.
Evidence-aware Trust Engine for explainable monitored digital twins in urban water infrastructure using synthetic demo data, EPANET/WNTR hydraulic baselines, residual diagnostics, baseline ML, ST-GNN proof-of-concept and XAI decision support.
Reduced reproduction of spatio-temporal GNN traffic forecasting (GraphCast → DCRNN/Graph WaveNet) on METR-LA & PEMS-BAY — trained STGNN beats baselines, learned-adjacency ablation generalizes across two cities, on a consumer GPU
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