A canonical engineering graph representation combined with region-aware graph attention learning enables robust and transferable 3D mode shape classification across heterogeneous vehicle models and sensor layouts.
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Robust and Explainable 3D Mode Shape Recognition Using Region-Aware Graph Neural Networks
A canonical engineering graph representation combined with region-aware graph attention learning enables robust and transferable 3D mode shape classification across heterogeneous vehicle models and sensor layouts.