5 citations · 13 across the 12 of their papers we have counts for
3 papers · 1 filter
On Filter Size in Graph Convolutional Networks
Dinh Van Tran, Nicolò Navarin, Alessandro Sperduti
Recently, many researchers have been focusing on the definition of neural networks for graphs. The basic component for many of these approaches remains the graph convolution idea p…
Pre-training Graph Neural Networks with Kernels
Nicolò Navarin, Dinh V. Tran, Alessandro Sperduti
Many machine learning techniques have been proposed in the last few years to process data represented in graph-structured form. Graphs can be used to model several scenarios, from…
Linear Memory Networks
Davide Bacciu, Antonio Carta, Alessandro Sperduti
Recurrent neural networks can learn complex transduction problems that require maintaining and actively exploiting a memory of their inputs. Such models traditionally consider memo…