• # MeshCNN

• Referenced in 2 articles [sw31207]
• shapes. They explicitly capture both shape surface and topology, and leverage non-uniformity to represent ... analysis efforts using neural networks that combine convolution and pooling operations. In this paper ... edges, by leveraging their intrinsic geodesic connections. Convolutions are applied on edges and the four ... that retains surface topology, thereby, generating new mesh connectivity for the subsequent convolutions. MeshCNN learns...
• # TauFactor

• Referenced in 2 articles [sw20631]
• tortuosity factor, as well as volume fractions, surface areas and triple phase boundary densities, from ... apparent decrease in diffusive transport resulting from convolutions of the flow paths through porous media...
• # GEOMetrics

• Referenced in 1 article [sw31208]
• encoded objects by introducing (1) a graph convolutional update preserving vertex information; (2) an adaptive ... training objective operating both on the local surfaces defined by vertices as well...
• # CSRFPACK

• Referenced in 1 article [sw00172]
• package for constructing a $C^1$ convex surface that interpolates a convex data set consisting ... nodal values and gradients, and applying convolution smoothing...
• # PiNN

• Referenced in 1 article [sw30601]
• machine learning methods for predicting potential energy surfaces and physico-chemical properties of molecules ... PiNN, we implemented an interpretable graph convolutional neural network variant, PiNet, as well...
• # GigaMesh

• Referenced in 1 article [sw06599]
• when it was pressed into the soft surface of a clay tablet. Manually drawing ... lead to different high-dimensional feature spaces. Convolutions and combined metrics are applied...