Franco Scarselli
TitleCited byYear
The graph neural network model
F Scarselli, M Gori, AC Tsoi, M Hagenbuchner, G Monfardini
IEEE Transactions on Neural Networks 20 (1), 61-80, 2008
8972008
Inside pagerank
M Bianchini, M Gori, F Scarselli
ACM Transactions on Internet Technology (TOIT) 5 (1), 92-128, 2005
5472005
Universal approximation using feedforward neural networks: A survey of some existing methods, and some new results
F Scarselli, AC Tsoi
Neural networks 11 (1), 15-37, 1998
4761998
A new model for learning in graph domains
M Gori, G Monfardini, F Scarselli
Proceedings. 2005 IEEE International Joint Conference on Neural Networks …, 2005
3002005
On the complexity of neural network classifiers: A comparison between shallow and deep architectures
M Bianchini, F Scarselli
IEEE transactions on neural networks and learning systems 25 (8), 1553-1565, 2014
2392014
Are multilayer perceptrons adequate for pattern recognition and verification?
M Gori, F Scarselli
IEEE Transactions on Pattern Analysis and Machine Intelligence 20 (11), 1121 …, 1998
1451998
Computational capabilities of graph neural networks
F Scarselli, M Gori, AC Tsoi, M Hagenbuchner, G Monfardini
IEEE Transactions on Neural Networks 20 (1), 81-102, 2008
842008
Adaptive ranking of web pages
AC Tsoi, G Morini, F Scarselli, M Hagenbuchner, M Maggini
Proceedings of the 12th international conference on World Wide Web, 356-365, 2003
622003
Recursive neural networks for processing graphs with labelled edges: Theory and applications
M Bianchini, M Maggini, L Sarti, F Scarselli
Neural Networks 18 (8), 1040-1050, 2005
502005
Graph neural networks for ranking web pages
F Scarselli, SL Yong, M Gori, M Hagenbuchner, AC Tsoi, M Maggini
The 2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI'05 …, 2005
502005
SortNet: Learning to rank by a neural preference function
L Rigutini, T Papini, M Maggini, F Scarselli
IEEE transactions on neural networks 22 (9), 1368-1380, 2011
412011
Recursive processing of cyclic graphs
M Bianchini, M Gori, L Sarti, F Scarselli
IEEE Transactions on Neural Networks 17 (1), 10-18, 2006
352006
On the complexity of shallow and deep neural network classifiers.
M Bianchini, F Scarselli
ESANN, 2014
332014
Clustering XML documents using self-organizing maps for structures
M Hagenbuchner, A Sperduti, AC Tsoi, F Trentini, F Scarselli, M Gori
International Workshop of the Initiative for the Evaluation of XML Retrieval …, 2005
302005
A comparison between recursive neural networks and graph neural networks
V Di Massa, G Monfardini, L Sarti, F Scarselli, M Maggini, M Gori
The 2006 IEEE International Joint Conference on Neural Network Proceedings …, 2006
292006
Recursive neural networks learn to localize faces
M Bianchini, M Maggini, L Sarti, F Scarselli
Pattern recognition letters 26 (12), 1885-1895, 2005
282005
Processing directed acyclic graphs with recursive neural networks
M Bianchini, M Gori, F Scarselli
IEEE Transactions on Neural Networks 12 (6), 1464-1470, 2001
282001
Neural networks for relational learning: an experimental comparison
W Uwents, G Monfardini, H Blockeel, M Gori, F Scarselli
Machine Learning 82 (3), 315-349, 2011
252011
PageRank A circuital analysis
M Bianchini, M Gori, F Scarselli
25*
A self-organising map approach for clustering of xml documents
F Trentini, M Hagenbuchner, A Sperduti, F Scarselli, AC Tsoi
The 2006 IEEE International Joint Conference on Neural Network Proceedings …, 2006
222006
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