most citedModularity Optimization as a Training Criterion for Graph Neural Networks

4 citations · 4 across the 1 of their papers we have counts for

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1 paper

cs.LG2022★ 4 cited

Modularity Optimization as a Training Criterion for Graph Neural Networks

Tsuyoshi Murata, Naveed Afzal

Graph convolution is a recent scalable method for performing deep feature learning on attributed graphs by aggregating local node information over multiple layers. Such layers only…