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📚TheoryIntermediate

Message Passing on Meshes & Point Clouds

Message passing treats meshes and point clouds as graphs where nodes exchange information with neighbors to learn useful features.

#geometric deep learning#message passing#pointnet+12
📚TheoryAdvanced

Spectral Convolution on Graphs

Spectral convolution on graphs generalizes the classical notion of convolution using the graph’s Laplacian eigenvectors as “Fourier” basis functions.

#spectral graph theory
Advanced
Filtering by:
#gcn
#graph fourier transform
#laplacian eigenvectors
+12
📚TheoryIntermediate

Message Passing Framework

Message Passing Neural Networks (MPNNs) learn on graphs by letting nodes repeatedly exchange and aggregate messages from their neighbors.

#message passing neural network#mpnn#graph neural network+12
📚TheoryAdvanced

Graph Neural Network Theory

Graph Neural Networks (GNNs) learn on graphs by repeatedly letting each node aggregate messages from its neighbors and update its representation.

#graph neural networks#message passing#weisfeiler-leman+12