Gori, Marco

The graph neural network model

Scarselli, F., Gori, M., Tsoi, A. C., Hagenbuchner, M., & Monfardini, G. (2009) · IEEE Transactions on Neural Networks

Advanced Graph Neural NetworksGraph Theory and Algorithms

Cited by 9,582

A new model for learning in graph domains

Gori, M., Monfardini, G., & Scarselli, F. (2006) · Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.

Advanced Graph Neural NetworksNeural Networks and Applications

Cited by 2,075

Inside PageRank

Bianchini, M., Gori, M., & Scarselli, F. (2005) · ACM Transactions on Internet Technology

Information Retrieval and Search BehaviorWeb visibility and informetrics

Cited by 539

Computational Capabilities of Graph Neural Networks

Scarselli, F., Gori, M., Tsoi, A. C., Hagenbuchner, M., & Monfardini, G. (2009) · IEEE Transactions on Neural Networks

Advanced Graph Neural NetworksNeural Networks and Applications

Cited by 225

Neural-Symbolic Computing: An Effective Methodology for Principled Integration of Machine Learning and Reasoning

Garcez, A. D., Gori, M., Lamb, L. C., Serafini, L., Spranger, M., & Tran, S. N. (2019) · arXiv

Explainable Artificial Intelligence (XAI)Logic, Reasoning, and Knowledge

Cited by 175

Integrating Learning and Reasoning with Deep Logic Models

Marra, G., Giannini, F., Diligenti, M., & Gori, M. (2020) · Lecture Notes in Computer Science

Logic, Reasoning, and KnowledgeBayesian Modeling and Causal Inference

Cited by 71

Regularizing deep networks with prior knowledge: A constraint-based approach

Roychowdhury, S., Diligenti, M., & Gori, M. (2021) · Knowledge-Based Systems

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 46

AI*IA 2016 Advances in Artificial Intelligence: XVth International Conference of the Italian Association for Artificial Intelligence, Genova, Italy, November 29 – December 1, 2016, Proceedings

Maratea, M., Gori, M., Cagnoni, S., & Adorni, G. (2016) · Lecture Notes in Computer Science

Topic ModelingSemantic Web and Ontologies

Cited by 7

A new perspective on optimizers: leveraging Moreau-Yosida approximation in gradient-based learning

Betti, A., Ciravegna, G., Gori, M., Melacci, S., Mottin, K., & Precioso, F. (2024) · Intelligenza Artificiale: The international journal of the AIxIA

Stochastic Gradient Optimization TechniquesDomain Adaptation and Few-Shot Learning

Cited by 1