Node-level Graph Neural Architecture Search Framework
In recent years, Graph Neural Networks (GNNs) and architecture search frameworks have gained extensive application in non-Euclidean data processing, attributable to their superior capacity in managing unstructured data. Nevertheless, traditional approaches typically apply uniform convolution operations to all nodes, re...
Lintao Yanga, Sirui Lia, Ya-Qing Wang et al.
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