A Model-Agnostic Graph Neural Network for Integrating Local and Global Information
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Graph Neural Networks (GNNs) have achieved promising performance in a variety of graph-focused tasks. Despite their success, however, existing GNNs suffer from two significant limitations: a lack of interpretability in their results due to their black-box natu... ...
