{"id":"https://openalex.org/W4200245237","doi":"https://doi.org/10.1142/s0218488521400134","title":"Relational Reasoning Using Neural Networks: A Survey","display_name":"Relational Reasoning Using Neural Networks: A Survey","publication_year":2021,"publication_date":"2021-12-01","ids":{"openalex":"https://openalex.org/W4200245237","doi":"https://doi.org/10.1142/s0218488521400134"},"language":"en","primary_location":{"id":"doi:10.1142/s0218488521400134","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218488521400134","pdf_url":null,"source":{"id":"https://openalex.org/S69518169","display_name":"International Journal of Uncertainty Fuzziness and Knowledge-Based Systems","issn_l":"0218-4885","issn":["0218-4885","1793-6411"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"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/A5102951907","display_name":"Anil Audumbar Pise","orcid":"https://orcid.org/0000-0002-1292-3019"},"institutions":[{"id":"https://openalex.org/I192619145","display_name":"University of the Witwatersrand","ror":"https://ror.org/03rp50x72","country_code":"ZA","type":"education","lineage":["https://openalex.org/I192619145"]}],"countries":["ZA"],"is_corresponding":true,"raw_author_name":"Anil Audumbar Pise","raw_affiliation_strings":["School of Computer Science and Applied Mathematics, University of the Witwatersrand, South Africa"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Applied Mathematics, University of the Witwatersrand, South Africa","institution_ids":["https://openalex.org/I192619145"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081793269","display_name":"Hima Vadapalli","orcid":"https://orcid.org/0000-0001-9040-3601"},"institutions":[{"id":"https://openalex.org/I192619145","display_name":"University of the Witwatersrand","ror":"https://ror.org/03rp50x72","country_code":"ZA","type":"education","lineage":["https://openalex.org/I192619145"]}],"countries":["ZA"],"is_corresponding":false,"raw_author_name":"Hima Vadapalli","raw_affiliation_strings":["School of Computer Science and Applied Mathematics, University of the Witwatersrand, South Africa"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Applied Mathematics, University of the Witwatersrand, South Africa","institution_ids":["https://openalex.org/I192619145"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020352425","display_name":"Ian Sanders","orcid":"https://orcid.org/0000-0001-9081-8145"},"institutions":[{"id":"https://openalex.org/I165390105","display_name":"University of South Africa","ror":"https://ror.org/048cwvf49","country_code":"ZA","type":"education","lineage":["https://openalex.org/I165390105"]}],"countries":["ZA"],"is_corresponding":false,"raw_author_name":"Ian Sanders","raw_affiliation_strings":["Department of Computer Science, University of South Africa, South Africa"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of South Africa, South Africa","institution_ids":["https://openalex.org/I165390105"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102951907"],"corresponding_institution_ids":["https://openalex.org/I192619145"],"apc_list":null,"apc_paid":null,"fwci":3.0296,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.92609228,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"29","issue":"Supp02","first_page":"237","last_page":"258"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13676","display_name":"Educational and Technological Research","score":0.6970000267028809,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T13676","display_name":"Educational and Technological Research","score":0.6970000267028809,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.642799973487854,"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/computer-science","display_name":"Computer science","score":0.7374540567398071},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6938453912734985},{"id":"https://openalex.org/keywords/statistical-relational-learning","display_name":"Statistical relational learning","score":0.6458402872085571},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5695884823799133},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.5001895427703857},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.45426905155181885},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.42992061376571655},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.4154960513114929},{"id":"https://openalex.org/keywords/relational-model","display_name":"Relational model","score":0.4139844477176666},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32800835371017456},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.31317049264907837},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.09207227826118469}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7374540567398071},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6938453912734985},{"id":"https://openalex.org/C177877439","wikidata":"https://www.wikidata.org/wiki/Q7604413","display_name":"Statistical relational learning","level":3,"score":0.6458402872085571},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5695884823799133},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.5001895427703857},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.45426905155181885},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.42992061376571655},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.4154960513114929},{"id":"https://openalex.org/C40207289","wikidata":"https://www.wikidata.org/wiki/Q755662","display_name":"Relational model","level":3,"score":0.4139844477176666},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32800835371017456},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.31317049264907837},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.09207227826118469},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218488521400134","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218488521400134","pdf_url":null,"source":{"id":"https://openalex.org/S69518169","display_name":"International Journal of Uncertainty Fuzziness and Knowledge-Based Systems","issn_l":"0218-4885","issn":["0218-4885","1793-6411"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.7599999904632568,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2793022090","https://openalex.org/W4298168912","https://openalex.org/W2919358988","https://openalex.org/W4281386417","https://openalex.org/W3211546796","https://openalex.org/W4317242789","https://openalex.org/W3192794374","https://openalex.org/W2996568036","https://openalex.org/W2969748604","https://openalex.org/W2989698750"],"abstract_inverted_index":{"Relational":[0,101,137],"Networks":[1,128],"(RN),":[2],"as":[3,21,93,103,105,124,139,141],"one":[4],"of":[5,33,54,81,88,173],"the":[6,70,78,148],"most":[7],"widely":[8],"used":[9,44,119],"relational":[10,34,159,175],"reasoning":[11,35,160],"techniques,":[12],"have":[13,117],"achieved":[14],"great":[15],"success":[16],"in":[17,38,45,59,90,120],"many":[18],"applications":[19],"such":[20,92,123],"action":[22],"and":[23,28,155,164],"image":[24],"analysis,":[25],"speech":[26],"recognition":[27],"text":[29],"understanding.":[30],"The":[31],"use":[32,87,152],"via":[36],"RN":[37,51,89,177],"neural":[39],"networks":[40],"has":[41],"often":[42],"been":[43,118],"recent":[46],"years.":[47],"In":[48,167],"these":[49],"instances,":[50],"is":[52,64,145,183],"composed":[53],"various":[55,121],"deep":[56,82,180],"learning-based":[57],"algorithms":[58],"simple":[60],"plug-and-play":[61],"modules.":[62],"This":[63,75,144],"quite":[65],"advantageous":[66],"since":[67],"it":[68],"circumvents":[69],"need":[71],"for":[72,142],"features":[73],"engineering.":[74],"paper":[76,169],"surveys":[77],"emerging":[79],"research":[80],"learning":[83,181],"models":[84,178],"that":[85,150],"make":[86],"tasks":[91,122],"Natural":[94],"Language":[95],"Processing":[96],"(NLP),":[97],"Action":[98,130],"Recognition,":[99,131],"Temporal":[100,136],"Reasoning":[102],"well":[104,140],"Facial":[106],"Emotion":[107],"Recognition":[108],"(FER).":[109],"Since,":[110],"RNs":[111,151],"are":[112],"easy":[113],"to":[114,147,157],"integrate":[115],"they":[116],"NLP,":[125],"Recurrent":[126],"Neural":[127],"(RNN),":[129],"Image":[132],"Analysis,":[133],"Object":[134],"Detection,":[135],"Reasoning,":[138],"FER.":[143],"due":[146],"fact":[149],"bidirectional":[153],"LSTM":[154],"CNN":[156],"solve":[158],"problems":[161],"at":[162],"character":[163],"word":[165],"level.":[166],"this":[168],"a":[170],"comparative":[171],"review":[172],"all":[174],"reasoning-based":[176],"using":[179],"techniques":[182],"presented.":[184]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
