Abstract: Graph neural networks (GNNs) are increasingly used in edge and mobile applications, but the large memory requirements of GNN hardware limit their deployment on resource-constrained devices.

Abstract: Graph neural networks (GNNs) have emerged as a powerful framework for a wide range of node-level graph learning tasks. However, their performance typically depends on random or minimally ...

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