CAD risk-area + deformation GNN

Diagnostic training-set fit only. Two unvalidated NG runs, weak point-dilated masks, one CAD and one observed defect class. These values do not measure generalization or production accuracy.

Input: STEP-derived graph + XLS process values/masks. Outputs: CAD-node risk probability, signed normal deformation, deformation magnitude, and a graph-level defect-type head.

Final loss: 0.5600; pooled training IoU: 0.3061; pooled training Dice: 0.4688. Defect-type status: unavailable_single_observed_class.

RunTarget nodesPredicted nodesTraining IoUTraining Dice
16h9300.30000.4615
18h0121680.30880.4719

Training trace

Diagnostic GNN training curve

Fitted fields

Weak target, fitted risk and fitted deformation fields

Full JSON report ยท Diagnostic checkpoint