Neural-symbolic computing has now become the subject of interest of both academic and industry research laboratories. Graph Neural Networks (GNNs) have been widely used in relational and symbolic domains, with widespread application of GNNs in combinatorial optimization, constraint satisfaction, relational reasoning and other scientific domains. The need for improved explainability, interpretability and trust of AI systems in general demands principled methodologies, as suggested by neural-symbolic computing. In this paper, we review the state-of-the-art on the use of GNNs as a model of neural-symbolic computing. This includes the application of GNNs in several domains as well as their relationship to current developments in neural-symbolic computing.

Lamb, L.C., d'Avila Garcez, A.S., Gori, M., Prates, M.O.R., Avelar, P.H.C., Vardi, M.Y. (2020). Graph Neural Networks Meet Neural-Symbolic Computing: {A} Survey and Perspective. In Proceedings of the IJCAI-2020 (pp.4877-4884). International Joint Conferences on Artificial Intelligence [10.24963/ijcai.2020/679].

Graph Neural Networks Meet Neural-Symbolic Computing: {A} Survey and Perspective

Marco Gori
Investigation
;
2020-01-01

Abstract

Neural-symbolic computing has now become the subject of interest of both academic and industry research laboratories. Graph Neural Networks (GNNs) have been widely used in relational and symbolic domains, with widespread application of GNNs in combinatorial optimization, constraint satisfaction, relational reasoning and other scientific domains. The need for improved explainability, interpretability and trust of AI systems in general demands principled methodologies, as suggested by neural-symbolic computing. In this paper, we review the state-of-the-art on the use of GNNs as a model of neural-symbolic computing. This includes the application of GNNs in several domains as well as their relationship to current developments in neural-symbolic computing.
2020
9780999241165
Lamb, L.C., d'Avila Garcez, A.S., Gori, M., Prates, M.O.R., Avelar, P.H.C., Vardi, M.Y. (2020). Graph Neural Networks Meet Neural-Symbolic Computing: {A} Survey and Perspective. In Proceedings of the IJCAI-2020 (pp.4877-4884). International Joint Conferences on Artificial Intelligence [10.24963/ijcai.2020/679].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11365/1281295