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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 ?
It would be great. Please let me know.
The text was updated successfully, but these errors were encountered:
The graph of an image is a 2D grid. You can generate a 10x10 grid (with adjacency and Laplacian matrices) with the PyGSP as graph = pygsp.graphs.Graph2d(10, 10) [doc].
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 ?
It would be great. Please let me know.
The text was updated successfully, but these errors were encountered: