An Ensemble Learning Approach to Graph Learning Based on Evolutionary Graph Neural Architecture Search
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The graph neural networks (GNNs) have been successfully applied to non-Euclidean graph data mining tasks, attracting widespread attention. At present, to achieve promising performance, many researchers use neural architecture search (NAS) on GNNs to enhance ap... ...
