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Towards a Taxonomy of Graph Learning Datasets
Graph neural networks (GNNs) have attracted much attention due to their ability to leverage the intrinsic geometries of the underlying data.
Ego-GNNs: Exploiting Ego Structures in Graph Neural Networks
Graph neural networks (GNNs) have achieved remarkable success as a framework for deep learning on graph-structured data.
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