186 citations · 451 across the 24 of their papers we have counts for
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cs.LG2020★ 26 cited
Distributed Training of Graph Convolutional Networks
Simone Scardapane, Indro Spinelli, Paolo Di Lorenzo
The aim of this work is to develop a fully-distributed algorithmic framework for training graph convolutional networks (GCNs). The proposed method is able to exploit the meaningful…
cs.LG2020★ 103 cited
Adaptive Propagation Graph Convolutional Network
Indro Spinelli, Simone Scardapane, Aurelio Uncini
Graph convolutional networks (GCNs) are a family of neural network models that perform inference on graph data by interleaving vertex-wise operations and message-passing exchanges…