{"id":"https://openalex.org/W3090317370","doi":"https://doi.org/10.3233/faia200237","title":"Relational Neural Machines","display_name":"Relational Neural Machines","publication_year":2020,"publication_date":"2020-02-06","ids":{"openalex":"https://openalex.org/W3090317370","doi":"https://doi.org/10.3233/faia200237","mag":"3090317370"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.3233/FAIA200237","pdf_url":null,"source":{"id":"https://openalex.org/S4306418308","display_name":"European Conference on Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-article","indexed_in":[],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005466305","display_name":"Giuseppe Marra","orcid":"https://orcid.org/0000-0001-5940-9562"},"institutions":[{"id":"https://openalex.org/I45084792","display_name":"University of Florence","ror":"https://ror.org/04jr1s763","country_code":"IT","type":"education","lineage":["https://openalex.org/I45084792"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giuseppe Marra","raw_affiliation_strings":["University of Florence, Florence, Italy"],"affiliations":[{"raw_affiliation_string":"University of Florence, Florence, Italy","institution_ids":["https://openalex.org/I45084792"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107224746","display_name":"Michelangelo Diligenti","orcid":"https://orcid.org/0000-0002-5805-8032"},"institutions":[{"id":"https://openalex.org/I102064193","display_name":"University of Siena","ror":"https://ror.org/01tevnk56","country_code":"IT","type":"education","lineage":["https://openalex.org/I102064193"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Michelangelo Diligenti","raw_affiliation_strings":["University of Siena, Siena, Italy"],"affiliations":[{"raw_affiliation_string":"University of Siena, Siena, Italy","institution_ids":["https://openalex.org/I102064193"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058772124","display_name":"Francesco Giannini","orcid":"https://orcid.org/0000-0001-8492-8110"},"institutions":[{"id":"https://openalex.org/I102064193","display_name":"University of Siena","ror":"https://ror.org/01tevnk56","country_code":"IT","type":"education","lineage":["https://openalex.org/I102064193"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesco Giannini","raw_affiliation_strings":["University of Siena, Siena, Italy"],"affiliations":[{"raw_affiliation_string":"University of Siena, Siena, Italy","institution_ids":["https://openalex.org/I102064193"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022658803","display_name":"Marco Gori","orcid":"https://orcid.org/0000-0001-6337-5430"},"institutions":[{"id":"https://openalex.org/I102064193","display_name":"University of Siena","ror":"https://ror.org/01tevnk56","country_code":"IT","type":"education","lineage":["https://openalex.org/I102064193"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Marco Gori","raw_affiliation_strings":["University of Siena, Siena, Italy"],"affiliations":[{"raw_affiliation_string":"University of Siena, Siena, Italy","institution_ids":["https://openalex.org/I102064193"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080411641","display_name":"Marco Maggini","orcid":"https://orcid.org/0000-0002-6428-1265"},"institutions":[{"id":"https://openalex.org/I102064193","display_name":"University of Siena","ror":"https://ror.org/01tevnk56","country_code":"IT","type":"education","lineage":["https://openalex.org/I102064193"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Marco Maggini","raw_affiliation_strings":["University of Siena, Siena, Italy"],"affiliations":[{"raw_affiliation_string":"University of Siena, Siena, Italy","institution_ids":["https://openalex.org/I102064193"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.364,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.684784,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":92,"max":93},"biblio":{"volume":"325","issue":null,"first_page":"1340","last_page":"1347"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9904,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9904,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9671,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9553,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/semantic-reasoner","display_name":"Semantic reasoner","score":0.7775881},{"id":"https://openalex.org/keywords/statistical-relational-learning","display_name":"Statistical relational learning","score":0.667067},{"id":"https://openalex.org/keywords/probabilistic-logic-network","display_name":"Probabilistic logic network","score":0.4576972}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7861254},{"id":"https://openalex.org/C9616225","wikidata":"https://www.wikidata.org/wiki/Q3929429","display_name":"Semantic reasoner","level":2,"score":0.7775881},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.69301623},{"id":"https://openalex.org/C177877439","wikidata":"https://www.wikidata.org/wiki/Q7604413","display_name":"Statistical relational learning","level":3,"score":0.667067},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5868808},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5467138},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.49829268},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.47948226},{"id":"https://openalex.org/C18998212","wikidata":"https://www.wikidata.org/wiki/Q7246856","display_name":"Probabilistic logic network","level":5,"score":0.4576972},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.44985637},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4319057},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.41816247},{"id":"https://openalex.org/C102993220","wikidata":"https://www.wikidata.org/wiki/Q387196","display_name":"Description logic","level":2,"score":0.22707245},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.2169933},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.1630801},{"id":"https://openalex.org/C203659156","wikidata":"https://www.wikidata.org/wiki/Q6934805","display_name":"Multimodal logic","level":3,"score":0.12747335},{"id":"https://openalex.org/C3845977","wikidata":"https://www.wikidata.org/wiki/Q4826262","display_name":"Autoepistemic logic","level":4,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.3233/FAIA200237","pdf_url":null,"source":{"id":"https://openalex.org/S4306418308","display_name":"European Conference on Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3206404247","https://openalex.org/W3170642731","https://openalex.org/W3020831056","https://openalex.org/W2965972931","https://openalex.org/W2964121744","https://openalex.org/W2964031560","https://openalex.org/W2963737801","https://openalex.org/W2963572185","https://openalex.org/W2963277062","https://openalex.org/W2962875487","https://openalex.org/W2908522859","https://openalex.org/W2808610674","https://openalex.org/W2806725586","https://openalex.org/W2767656849","https://openalex.org/W2427182019","https://openalex.org/W2201744460","https://openalex.org/W2168437347","https://openalex.org/W2124931970","https://openalex.org/W1977970897","https://openalex.org/W1824971879"],"abstract_inverted_index":{"Deep":[0],"learning":[1,23,143,173,182],"has":[2],"been":[3],"shown":[4],"to":[5,37,52,61,118,139,165,180],"achieve":[6],"impressive":[7],"results":[8,193],"in":[9,45,105,147,157,171,186,194],"several":[10],"tasks":[11],"where":[12],"a":[13,38,42,95,114,128],"large":[14],"amount":[15],"of":[16,29,101,123,127,149,159],"training":[17],"data":[18,78,146],"is":[19,41,94,137],"available.":[20],"However,":[21],"deep":[22,88],"solely":[24],"focuses":[25],"on":[26],"the":[27,30,33,73,76,99,121,124],"accuracy":[28],"predictions,":[31],"neglecting":[32],"reasoning":[34,50,63,93],"process":[35],"leading":[36],"decision,":[39],"which":[40],"major":[43],"issue":[44],"life-critical":[46],"applications.":[47,83],"Probabilistic":[48],"logic":[49,92],"allows":[51],"exploit":[53],"both":[54,141],"statistical":[55],"regularities":[56],"and":[57,69,90,126,153,168,183],"specific":[58],"domain":[59],"expertise":[60],"perform":[62,169],"under":[64],"uncertainty,":[65],"but":[66],"its":[67,82],"scalability":[68],"brittle":[70],"integration":[71],"with":[72],"layers":[74],"processing":[75],"sensory":[77],"have":[79],"greatly":[80],"limited":[81],"For":[84],"these":[85],"reasons,":[86],"combining":[87],"architectures":[89],"probabilistic":[91],"fundamental":[96],"goal":[97],"towards":[98],"development":[100],"intelligent":[102],"agents":[103],"operating":[104],"complex":[106],"environments.":[107],"This":[108],"paper":[109],"presents":[110],"Relational":[111,134],"Neural":[112,135],"Machines,":[113],"novel":[115],"framework":[116],"allowing":[117,164],"jointly":[119,166],"train":[120,167],"parameters":[122],"learners":[125],"First--Order":[129],"Logic":[130,155],"based":[131],"reasoner.":[132],"A":[133],"Machine":[136],"able":[138],"recover":[140],"classical":[142],"from":[144],"supervised":[145],"case":[148,158],"pure":[150,160],"sub-symbolic":[151],"learning,":[152],"Markov":[154],"Networks":[156],"symbolic":[161],"reasoning,":[162],"while":[163],"inference":[170,184],"hybrid":[172],"tasks.":[174,197],"Proper":[175],"algorithmic":[176],"solutions":[177],"are":[178],"devised":[179],"make":[181],"tractable":[185],"large-scale":[187],"problems.":[188],"The":[189],"experiments":[190],"show":[191],"promising":[192],"different":[195],"relational":[196]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W3090317370","counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":1}],"updated_date":"2025-01-22T00:05:29.851621","created_date":"2020-10-08"}