Web: http://arxiv.org/abs/2206.08258

June 17, 2022, 1:11 a.m. | Axel Wassington, Sergi Abadal

cs.LG updates on arXiv.org arxiv.org

Graph Neural Networks (GNN) show great promise in problems dealing with
graph-structured data. One of the unique points of GNNs is their flexibility to
adapt to multiple problems, which not only leads to wide applicability, but
also poses important challenges when finding the best model or acceleration
technique for a particular problem. An example of such challenges resides in
the fact that the accuracy or effectiveness of a GNN model or acceleration
technique generally depends on the structure of the …

arxiv computation data data-driven graph lg metrics model time

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