Deep transfer learning with graph neural networks for the selection of manufacturing processes

2026/07/17 by Marco Hussong, Peter M. Simon, Marcel Wagner +2

paper · doi:10.1016/j.jmsy.2026.07.008

published in Journal of Manufacturing Systems 88, 753-771 (Elsevier BV)

crossref created 2026/07/17 · crossref deposited 2026/08/07 · crossref indexed 2026/08/07 · crossref issued 2026/10/01 · crossref published 2026/10/01 · crossref published-print 2026/10/01

Citations

• How Attentive are Graph Attention Networks?
• Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification
• DeeperGCN: All You Need to Train Deeper GCNs
• Principal Neighbourhood Aggregation for Graph Nets
• Strategies for Pre-training Graph Neural Networks
• Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks
• How Powerful are Graph Neural Networks?
• A Survey on Deep Transfer Learning
• Residual Gated Graph ConvNets
• Graph Attention Networks
• Crystal Graph Convolutional Neural Networks for an Accurate and Interpretable Prediction of Material Properties