{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,24]],"date-time":"2026-10-24T06:49:23Z","timestamp":1792824563425,"version":"4.5.0"},"publisher-location":"California","reference-count":0,"publisher":"International Joint Conferences on Artificial Intelligence Organization","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,7]]},"abstract":"<jats:p>Neural-symbolic computing has now become the subject of interest of both academic and industry research laboratories. \n\nGraph 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.\n\nThe need for improved explainability, interpretability and trust of AI systems in general demands principled methodologies, as suggested by neural-symbolic computing. \n\nIn 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.<\/jats:p>","DOI":"10.24963\/ijcai.2020\/679","type":"proceedings-article","created":{"date-parts":[[2020,7,8]],"date-time":"2020-07-08T08:12:10Z","timestamp":1594195930000},"page":"4877-4884","source":"Crossref","is-referenced-by-count":99,"title":["Graph Neural Networks Meet Neural-Symbolic Computing: A Survey and Perspective"],"prefix":"10.24963","author":[{"given":"Lu\u00eds C.","family":"Lamb","sequence":"first","affiliation":[{"name":"UFRGS, Federal University of Rio Grande do Sul, Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Artur d\u2019Avila","family":"Garcez","sequence":"additional","affiliation":[{"name":"City, University of London, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marco","family":"Gori","sequence":"additional","affiliation":[{"name":"University of Siena, Italy"},{"name":"Universit\u00e9 C\u00f4te d'Azur, 3IA, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marcelo O.R.","family":"Prates","sequence":"additional","affiliation":[{"name":"UFRGS, Federal University of Rio Grande do Sul, Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pedro H.C.","family":"Avelar","sequence":"additional","affiliation":[{"name":"UFRGS, Federal University of Rio Grande do Sul, Brazil"},{"name":"University of Siena, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Moshe Y.","family":"Vardi","sequence":"additional","affiliation":[{"name":"Rice University, Houston, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"10584","event":{"name":"Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}","theme":"Artificial Intelligence","location":"Yokohama, Japan","acronym":"IJCAI-PRICAI-2020","number":"28","sponsor":["International Joint Conferences on Artificial Intelligence Organization (IJCAI)"],"start":{"date-parts":[[2020,7,11]]},"end":{"date-parts":[[2020,7,17]]}},"container-title":["Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence"],"original-title":[],"deposited":{"date-parts":[[2020,7,8]],"date-time":"2020-07-08T22:16:38Z","timestamp":1594246598000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2020\/679"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2020,7]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/ijcai.2020\/679","relation":{},"subject":[],"published":{"date-parts":[[2020,7]]}}}