EAGLE combines Transformer patch encoding with Edge-Aware GAT in a multi-task setup to reach F1-score 0.8762 and AUC-ROC 0.9773 on the DataCo supply chain dataset with high training stability.
InProceedings of the 10th International Conference on Learning Representations (ICLR ’22)
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EAGLE: Edge-Aware Graph Learning for Proactive Delivery Delay Prediction in Smart Logistics Networks
EAGLE combines Transformer patch encoding with Edge-Aware GAT in a multi-task setup to reach F1-score 0.8762 and AUC-ROC 0.9773 on the DataCo supply chain dataset with high training stability.