A Systematic Survey of Graph Convolutional Networks for Artificial Intelligence Applications
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DOI: 10.1002/widm.70012
Abstract: Graph Convolutional Networks (GCNs) have become an essential tool for handling graph‐structured data, enhancing the functionality of conventional convolutional neural networks (CNNs) in non‐Euclidean contexts. GCNs are particularly proficient in tasks such as node classification,… read more here.
Keywords: gcns; systematic survey; graph convolutional; convolutional networks ... See more keywords