..., and vectorization from large pixel-based datasets. Second, this study constructs BIGNet, a two-tier Brand Identification Graph Neural Network, to learn from both scalar vector graphics’ curve-level and chunk-level parameters. In the first case study, BIGNet not only classifies phone brands but also captures brand...

..., schools, etc.) would influence the formation of a strong connection or not. If so, to what extent do such factors play a role? To answer this question, we propose using graph neural networks (GNNs), in which the concept of network embedding can capture and quantify the effect of local network structures...

... Email: caitlinm@mit.edu Contributed by the Design Automation Committee of ASME for publication in the J ournal of M echanical D esign . 01 04 2021 26 08 2021 29 08 2021 21 09 2021 graph neural network geometric deep learning transfer learning surrogate model...