GitHub / miladpayandehh / Classification-using-Graph-Convolutional-Network
A Graph Convolutional Network, or GCN, is an approach for semi-supervised learning on graph-structured data. It is based on an efficient variant of convolutional neural networks which operate directly on graphs.
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Language: Jupyter Notebook
Size: 373 KB
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Created at: over 1 year ago
Updated at: over 1 year ago
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Last synced at: about 1 year ago
Topics: classification, deep-neural-network, gcnn, graph, graph-convolutional-networks, neural-network