113 citations · 598 across the 33 of their papers we have counts for
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cs.LG2019★ 13 cited
Bayesian Graph Convolutional Neural Networks using Node Copying
Soumyasundar Pal, Florence Regol, Mark Coates
Graph convolutional neural networks (GCNN) have numerous applications in different graph based learning tasks. Although the techniques obtain impressive results, they often fall sh…
cs.LG2019★ 9 cited
Bayesian Graph Convolutional Neural Networks Using Non-Parametric Graph Learning
Soumyasundar Pal, Florence Regol, Mark Coates
Graph convolutional neural networks (GCNN) have been successfully applied to many different graph based learning tasks including node and graph classification, matrix completion, a…