{"id":"https://openalex.org/W4409479065","doi":"https://doi.org/10.14428/esann/2025.es2025-78","title":"Encoding Higher-Order Logic in Spatio-Temporal Hypergraphs for Neuro-Symbolic Learning","display_name":"Encoding Higher-Order Logic in Spatio-Temporal Hypergraphs for Neuro-Symbolic Learning","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4409479065","doi":"https://doi.org/10.14428/esann/2025.es2025-78"},"language":"en","primary_location":{"id":"doi:10.14428/esann/2025.es2025-78","is_oa":true,"landing_page_url":"https://doi.org/10.14428/esann/2025.es2025-78","pdf_url":"https://doi.org/10.14428/esann/2025.es2025-78","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ESANN 2025 proceesdings","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.14428/esann/2025.es2025-78","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Bikram Pratim BHUYAN","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Bikram Pratim BHUYAN","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038637014","display_name":"Amylia Ait Saadi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Amylia AIT SAADI","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5111033544","display_name":"Amar Ramdane-Cherif","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Amar RAMDANE-CHERIF","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7802,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.86150337,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"579","last_page":"584"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9259999990463257,"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/T10320","display_name":"Neural Networks and Applications","score":0.9259999990463257,"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/encoding","display_name":"Encoding (memory)","score":0.8069741725921631},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6826722621917725},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.5499345064163208},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4559437036514282},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4356759488582611}],"concepts":[{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.8069741725921631},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6826722621917725},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.5499345064163208},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4559437036514282},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4356759488582611},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.14428/esann/2025.es2025-78","is_oa":true,"landing_page_url":"https://doi.org/10.14428/esann/2025.es2025-78","pdf_url":"https://doi.org/10.14428/esann/2025.es2025-78","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ESANN 2025 proceesdings","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-05041806v1","is_oa":false,"landing_page_url":"https://hal.science/hal-05041806","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ESANN 2025, Apr 2025, Bruges (Belgium) and online, France. pp.579-584, &#x27E8;10.14428/esann/2025.ES2025-78&#x27E9;","raw_type":"Conference papers"}],"best_oa_location":{"id":"doi:10.14428/esann/2025.es2025-78","is_oa":true,"landing_page_url":"https://doi.org/10.14428/esann/2025.es2025-78","pdf_url":"https://doi.org/10.14428/esann/2025.es2025-78","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ESANN 2025 proceesdings","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3024506935","display_name":null,"funder_award_id":"ANR-11-IDEX-0003","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G4585338298","display_name":null,"funder_award_id":"11-IDEX-0003-02","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G4866930200","display_name":null,"funder_award_id":"ANR-11-IDEX","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G6187605657","display_name":null,"funder_award_id":"ANR-11-IDEX-0003-02","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4409479065.pdf","grobid_xml":"https://content.openalex.org/works/W4409479065.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"This":[0],"work":[1],"integrates":[2],"Monadic":[3],"Second-Order":[4],"(MSO)":[5],"logic":[6,19,68],"into":[7,69],"Spatio-Temporal":[8],"Heterogeneous":[9],"Hypergraphs":[10],"(STHH)":[11],"to":[12,72],"advance":[13],"Neuro-Symbolic":[14],"AI.By":[15],"bridging":[16],"higher-ordered":[17,66],"symbolic":[18,67],"with":[20],"neural":[21,70],"computations,":[22],"STHH":[23,42],"offers":[24],"a":[25,34],"novel":[26],"framework":[27],"for":[28],"knowledge":[29],"representation":[30],"and":[31,50,75],"learning.Evaluations":[32],"on":[33],"custom":[35],"agricultural":[36],"dataset":[37],"show":[38],"that":[39],"the":[40,62],"proposed":[41],"outperforms":[43],"state-of-the-art":[44],"hypergraph":[45],"models":[46],"across":[47],"F1-score,":[48],"accuracy,":[49],"AUC":[51],"metrics.Despite":[52],"challenges":[53],"such":[54],"as":[55],"limited":[56],"standardized":[57],"datasets,":[58],"this":[59],"study":[60],"underscores":[61],"potential":[63],"of":[64],"integrating":[65],"systems":[71],"achieve":[73],"robust":[74],"interpretable":[76],"AI.":[77]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-09T15:46:55.921056","created_date":"2025-10-10T00:00:00"}
