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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
📚TheoryIntermediate

Positional Encoding Theory

Transformers are permutation-invariant by default, so they need positional encodings to understand word order in sequences.

#positional encoding
Advanced
Filtering by:
#permutation invariance
#sinusoidal encoding
#transformer
+11
📚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