{"id":"https://openalex.org/W4409916761","doi":"https://doi.org/10.1109/access.2025.3565638","title":"SymbolNet: Bridging Latent Neural Representations and Symbolic Reasoning via Intermediate Feature Interpretation","display_name":"SymbolNet: Bridging Latent Neural Representations and Symbolic Reasoning via Intermediate Feature Interpretation","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4409916761","doi":"https://doi.org/10.1109/access.2025.3565638"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3565638","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3565638","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3565638","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103233922","display_name":"Sungheon Jeong","orcid":"https://orcid.org/0000-0003-3540-7065"},"institutions":[{"id":"https://openalex.org/I204250578","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771","country_code":"US","type":"education","lineage":["https://openalex.org/I204250578"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sungheon Jeong","raw_affiliation_strings":["Department of Computer Science, University of California at Irvine, Irvine, CA, USA","University of California, Irvine, CA, USA"],"raw_orcid":"https://orcid.org/0000-0003-3540-7065","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of California at Irvine, Irvine, CA, USA","institution_ids":["https://openalex.org/I204250578"]},{"raw_affiliation_string":"University of California, Irvine, CA, USA","institution_ids":["https://openalex.org/I204250578"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100667698","display_name":"Hyungjoon Kim","orcid":"https://orcid.org/0000-0003-4580-489X"},"institutions":[{"id":"https://openalex.org/I174101054","display_name":"Changwon National University","ror":"https://ror.org/04ts4qa58","country_code":"KR","type":"education","lineage":["https://openalex.org/I174101054"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyungjoon Kim","raw_affiliation_strings":["Department of Computer Engineering, Changwon National University, Changwon-si, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0003-4580-489X","affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Changwon National University, Changwon-si, Republic of Korea","institution_ids":["https://openalex.org/I174101054"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037988153","display_name":"Yoojeong Song","orcid":"https://orcid.org/0000-0003-1666-6803"},"institutions":[{"id":"https://openalex.org/I4210107562","display_name":"Semyung University","ror":"https://ror.org/01d100w34","country_code":"KR","type":"education","lineage":["https://openalex.org/I4210107562"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yoojeong Song","raw_affiliation_strings":["School of Computer Science, Semyung University, Jecheon, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0003-1666-6803","affiliations":[{"raw_affiliation_string":"School of Computer Science, Semyung University, Jecheon, Republic of Korea","institution_ids":["https://openalex.org/I4210107562"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03666059,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":null,"first_page":"78221","last_page":"78230"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9940999746322632,"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/T10028","display_name":"Topic Modeling","score":0.9940999746322632,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9879000186920166,"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/bridging","display_name":"Bridging (networking)","score":0.7981575727462769},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7463824152946472},{"id":"https://openalex.org/keywords/interpretation","display_name":"Interpretation (philosophy)","score":0.5867090225219727},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5861626863479614},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5528540015220642},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4656330645084381},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3320485055446625},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.12092995643615723},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.05998608469963074}],"concepts":[{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.7981575727462769},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7463824152946472},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.5867090225219727},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5861626863479614},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5528540015220642},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4656330645084381},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3320485055446625},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.12092995643615723},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.05998608469963074},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3565638","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3565638","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:ad5e71a7636f45eba0c933ea30138a19","is_oa":true,"landing_page_url":"https://doaj.org/article/ad5e71a7636f45eba0c933ea30138a19","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 13, Pp 78221-78230 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3565638","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3565638","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321288","display_name":"Semyung University","ror":"https://ror.org/01d100w34"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1849277567","https://openalex.org/W1915485278","https://openalex.org/W2002427601","https://openalex.org/W2090042335","https://openalex.org/W2141200610","https://openalex.org/W2154851992","https://openalex.org/W2163922914","https://openalex.org/W2194775991","https://openalex.org/W2302086703","https://openalex.org/W2565639579","https://openalex.org/W2606982687","https://openalex.org/W2616247523","https://openalex.org/W2891503716","https://openalex.org/W2915292867","https://openalex.org/W2919115771","https://openalex.org/W2970780738","https://openalex.org/W3046642770","https://openalex.org/W3090449556","https://openalex.org/W3169686285","https://openalex.org/W3200351420","https://openalex.org/W3214024265","https://openalex.org/W4205564283","https://openalex.org/W4315499062","https://openalex.org/W4386897466","https://openalex.org/W4389520191","https://openalex.org/W6637373629","https://openalex.org/W6638389677","https://openalex.org/W6748223763","https://openalex.org/W6754944153","https://openalex.org/W6757902542","https://openalex.org/W6763464472","https://openalex.org/W6795754764","https://openalex.org/W6841366371","https://openalex.org/W6842542540","https://openalex.org/W6843112102","https://openalex.org/W6846568857","https://openalex.org/W6969188649"],"related_works":["https://openalex.org/W4408719353","https://openalex.org/W4388870064","https://openalex.org/W2210139803","https://openalex.org/W4235186151","https://openalex.org/W2054685365","https://openalex.org/W2056057048","https://openalex.org/W2667588871","https://openalex.org/W2272354214","https://openalex.org/W2084768720","https://openalex.org/W2043010663"],"abstract_inverted_index":{"The":[0],"interpretation":[1,84],"of":[2,18,85,122,136],"intermediate":[3],"representations":[4],"in":[5],"deep":[6],"neural":[7],"networks":[8],"is":[9],"critical":[10],"for":[11],"enhancing":[12],"the":[13,63,72,91,103,120,132],"transparency,":[14],"trustworthiness,":[15],"and":[16,38,52,59,82,105,113],"applicability":[17],"artificial":[19],"intelligence":[20],"(AI)":[21],"systems.":[22],"In":[23],"this":[24],"paper,":[25],"we":[26],"propose":[27],"SymbolNet,":[28],"a":[29,47,127],"framework":[30],"that":[31,54,95,130],"extracts":[32],"mid-level":[33],"features":[34],"from":[35],"trained":[36],"models":[37,138],"transforms":[39],"them":[40],"into":[41],"human-interpretable":[42],"symbolic":[43,48,69,140],"representations.":[44],"SymbolNet":[45,96],"constructs":[46],"graph":[49],"comprising":[50],"nodes":[51],"edges":[53],"capture":[55],"both":[56],"semantic":[57],"meaning":[58],"relational":[60],"structure":[61],"within":[62],"model\u2019s":[64,73],"internal":[65,74,133],"reasoning":[66],"process.":[67],"This":[68],"decoding":[70],"bridges":[71],"computations":[75],"with":[76],"human":[77],"cognitive":[78],"understanding,":[79],"enabling":[80],"structured":[81],"meaningful":[83],"AI":[86,124],"behavior.":[87],"Experimental":[88],"results":[89],"on":[90],"GTSRB":[92],"dataset":[93],"demonstrate":[94],"improves":[97],"classification":[98],"accuracy":[99],"by":[100,125],"4%":[101],"over":[102],"baseline":[104],"significantly":[106],"enhances":[107],"robustness":[108],"under":[109],"various":[110],"noise":[111],"conditions":[112],"adversarial":[114],"attacks.":[115],"Our":[116],"work":[117],"contributes":[118],"to":[119],"field":[121],"explainable":[123],"introducing":[126],"novel":[128],"approach":[129],"reveals":[131],"learning":[134],"dynamics":[135],"black-box":[137],"through":[139],"reasoning.":[141]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}