Hard in theory, easy in practice: Why graph isomorphism algorithms seem to be so effective

Graphs are everywhere. In discrete mathematics, they are structures that show the connections between points, much like a ...
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Novel out-of-core mechanism introduced for large-scale graph neural network training

A research team has introduced a new out-of-core mechanism, Capsule, for large-scale GNN training, which can achieve up to a 12.02× improvement in runtime efficiency, while using only 22.24% of the ...