DiffGCN: Graph convolutional networks via differential operators and algebraic multigrid pooling

Keyphrases

• Differential Operator 100%
• Algebraic multigrid 100%
• Differential Algebraic 100%
• Graph Convolutional Network 100%
• Unpooling 50%
• Finite Difference 25%
• Convolutional Neural Network 25%
• Computational Cost 25%
• Partial Differential Equations 25%
• Discretized 25%
• Algebraic multigrid Method 25%
• Point Cloud 25%
• Graph Structure 25%
• Laplacian 25%
• Hierarchical Representation 25%
• Kernel-based 25%
• Unstructured Grid 25%
• Convolution Kernel 25%
• Unordered Data 25%
• Part Segmentation 25%
• Regular Grid 25%

Mathematics

• Convolution 100%
• Differential Operator 100%
• Partial Differential Equation 33%
• Convolutional Neural Network 33%
• Laplace Operator 33%
• Multigrid Method 33%
• Computational Cost 33%
• Unordered Data 33%