Deep learning-based graph neural networks (GNNs) provide a powerful approach for modeling graph-structured data (IMAGE)
Caption
Graph neural networks learn representations of graph data by combining information from connected nodes. The proposed approach extends this framework to handle graphs with missing features and structure, even with extremely limited labeled data.
Credit
NickDiCicco from Wikimedia Commons | https://commons.wikimedia.org/wiki/File:GNN_building_blocks.png
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CC BY-SA