"Modularity Optimization as a Training Criterion for Graph Neural Networks", Tsuyoshi Murata, Naveed Afzal https://t.co/22obze2qdv
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We investigate the effect of community structure preservation terms in the graph convolutional architectures. 📄 https://t.co/gc8XbR6nm5 https://t.co/mZYH9S78nz
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RT @arXiv__ml: #arXiv #machinelearning [csLG] Modularity Optimization as a Training Criterion for Graph Neural Networks. (arXiv:2207.00107v…
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#arXiv #machinelearning [csLG] Modularity Optimization as a Training Criterion for Graph Neural Networks. (arXiv:2207.00107v1 [cs.LG]) https://t.co/XasjUT7y92 #mw Graph convolution is a recent scalable method for performing deep feature learning on attrib