diffusion-graph-convolution

Here are 2 public repositories matching this topic...

LeviBorodenko / garnn

TensorFlow implementation of Graphical Attention Recurrent Neural Networks based on work by Cirstea et al., 2019.

tensorflow shape batch rnn attention attention-mechanism rnn-tensorflow graph-convolutional-networks temporal-data paper-implementations graph-signals graph-neural-networks diffusion-graph-convolution attention-matrix

Updated Jan 2, 2020
Python

Siscanalysis / p-Laplacian_GCNs

Star

From Simone Scala's Master Thesis in Applied Mathematics: applications in Graph Convolutional Neural Networks of the discretized differential p-Laplacian operator as a convolution filter. Numerical experiments using different values of p treating it as an hyperparameter in a grid search. On small datasets. Code not optimized.

graph-algorithms laplacian-filter graph-convolutional-neural-networks diffusion-graph-convolution

Updated Jun 15, 2026
Python

Improve this page

Add a description, image, and links to the diffusion-graph-convolution topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the diffusion-graph-convolution topic, visit your repo's landing page and select "manage topics."

Learn more