cnn_graph icon indicating copy to clipboard operation
cnn_graph copied to clipboard

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

Results 20 cnn_graph issues
Sort by recently updated
recently updated
newest added

I noticed line 139 in "lib/utils.py" should be modified from `model = gensim.models.Word2Vec(Sentences(self.documents), size)` to `model = gensim.models.Word2Vec(sentences=Sentences(self.documents), size=size)` I guess the parameter list of the Word2Vec constructor changed...

I have an MNIST-like dataset for image classification using a Graph Convolutional Neural Network. Could you maybe suggest on how to make the adjacency matrix for such a dataset ?...

Hi, I am trying to reproduce the mnist results on images data of my own. They are simple parabolas (almost like the ones in the tutorial on jupyter notebook) and...

For some reason, I felt the need to clean up my stuff a bit. - [x] Merge dangling branches: `wikipedia` (4bf213d), `plot-filters` (49431c1), `long-standing` (742ff46). The code is left as...

I appreciate your implementation. In the introduction of usage, an example of data matrix X=[x1,...,xn]^T is used. xi is a vector containing signals on all nodes in the graph. The...

I have been trying to run `usage.ipynb` notebook. Even if I fix the error in #46 as described in #46 , the line `accuracy, loss, t_step = model.fit(X_train, y_train, X_val,...

Hi, I work on similar stuff and noticed that there is a bug in your code where you rearrange the matrix according to the indices. I am not sure if...

Thanks you for share this implementation. Suppose each data has different graph structure...(same node number but different edges and edge weights) In this case... can I feed different graph for...

It seems that it's doing signal classification / regression in the notebook 'usage' . What change should I make to let it do node classification / regression? Only change the...

Hello Michaël, My colleague told me when I use the `graph.laplacian` function, I have to assign 0.0 to the diagonal elements of the `L` matrix on the fake nodes. The...