Applying Graph Neural Networks (GNNs) to predict congestion and analyze resilience in complex logistics hubs. Features dynamic graph modeling, spatio-temporal forecasting, MLOps deployment on GCP Vertex AI, and API integration. Demonstrates end-to-end ML system development.
network-science pytorch data-engineering predictive-modeling google-cloud-platform spatio-temporal graph-neural-networks mlops fastapi pytorch-geometric gnn vertex-ai congestion-prediction resilience-analysis logistics-supply-chain
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Updated
May 6, 2025