
Incorporating domain-specific differential equations into graph convolutional networks can improve robustness to mismatched training and test data patterns compared to domain-agnostic deep learning models.


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incorporating-domain-differential-equations-into-graph-convolutional-networks-to-improve-robustness-to-mismatched-training-and-test-data


Incorporating Domain Differential Equations into Graph Convolutional Networks to Improve Robustness to Mismatched Training and Test Data
