Explainable Relation-Heterogeneous Temporal Graph Neural Networks for Supply Chain Disruption Onset Prediction
Supply-chain disruption prediction is structurally different from ordinary time-series forecasting because risk is transmitted through typed dependencies such as sourcing, transportation, distribution, and alternate-supply relations. We present RHET-GNN, a relation-heterogeneous temporal graph neural network that coupl...