Shypd.aiThe largest open index of AI toolscnn_graph implements Convolutional Neural Networks (CNNs) on graphs with fast localized spectral filtering. It provides an efficient generalization of CNNs to arbitrary graphs for research and experimentation.
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cnn_graph is an open-source tool that implements Convolutional Neural Networks (CNNs) on graphs, utilizing fast localized spectral filtering. This repository offers an efficient generalization of traditional CNNs to arbitrary graph structures, making it a valuable resource for researchers and academics working in deep learning and graph theory. The project includes code for reproducing experiments on MNIST and 20NEWS datasets, as well as implementations of filters from other notable graph neural network papers. Users can apply the graph ConvNet to their own data by providing a data matrix, a target vector, and an optional adjacency matrix. The tool is available under the MIT license, encouraging its use and citation in academic work.
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