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Autor:
Kai-Lang Yao, Wu-Jun Li
Publikováno v:
IJCAI
The exponential increase in computation and memory complexity with the depth of network has become the main impediment to the successful application of graph neural networks (GNNs) on large-scale graphs like graphs with hundreds of millions of nodes.