{"id":"https://openalex.org/W7161026090","doi":"https://doi.org/10.1145/3805622.3810732","title":"Relational Retrieval: Leveraging Known-Novel Interactions for Generalized Category Discovery","display_name":"Relational Retrieval: Leveraging Known-Novel Interactions for Generalized Category Discovery","publication_year":2026,"publication_date":"2026-06-15","ids":{"openalex":"https://openalex.org/W7161026090","doi":"https://doi.org/10.1145/3805622.3810732"},"language":null,"primary_location":{"id":"doi:10.1145/3805622.3810732","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3805622.3810732","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2026 International Conference on Multimedia Retrieval","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3805622.3810732","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136065970","display_name":"Yulin Xu","orcid":null},"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":"Yulin Xu","raw_affiliation_strings":["University of California, Irvine, Irvine, CA, USA"],"raw_orcid":"https://orcid.org/0009-0003-6587-9781","affiliations":[{"raw_affiliation_string":"University of California, Irvine, Irvine, CA, USA","institution_ids":["https://openalex.org/I204250578"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135990789","display_name":"Chunqi Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I37574244","display_name":"Sichuan Agricultural University","ror":"https://ror.org/0388c3403","country_code":"CN","type":"education","lineage":["https://openalex.org/I37574244"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunqi Guo","raw_affiliation_strings":["Sichuan Agricultural University, Ya\u2019an, China"],"raw_orcid":"https://orcid.org/0009-0004-4892-455X","affiliations":[{"raw_affiliation_string":"Sichuan Agricultural University, Ya\u2019an, China","institution_ids":["https://openalex.org/I37574244"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033406672","display_name":"Yuanzhen Shuai","orcid":null},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yuanzhen Shuai","raw_affiliation_strings":["University College London, London, United Kingdom"],"raw_orcid":"https://orcid.org/0009-0000-8559-8141","affiliations":[{"raw_affiliation_string":"University College London, London, United Kingdom","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5136020155","display_name":"Jianyuan Ni","orcid":null},"institutions":[{"id":"https://openalex.org/I51812067","display_name":"Juniata College","ror":"https://ror.org/01ayg2409","country_code":"US","type":"education","lineage":["https://openalex.org/I51812067"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jianyuan Ni","raw_affiliation_strings":["Juniata College, Huntingdon, USA"],"raw_orcid":"https://orcid.org/0000-0002-6968-6536","affiliations":[{"raw_affiliation_string":"Juniata College, Huntingdon, USA","institution_ids":["https://openalex.org/I51812067"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.71283946,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"410","last_page":"414"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.40310001373291016,"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":0.40310001373291016,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.27079999446868896,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.10819999873638153,"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/leverage","display_name":"Leverage (statistics)","score":0.666100025177002},{"id":"https://openalex.org/keywords/statistical-relational-learning","display_name":"Statistical relational learning","score":0.6018999814987183},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.5375000238418579},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.4950999915599823},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.4163999855518341},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.40939998626708984},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.3950999975204468},{"id":"https://openalex.org/keywords/relational-calculus","display_name":"Relational calculus","score":0.367000013589859}],"concepts":[{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.666100025177002},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6223000288009644},{"id":"https://openalex.org/C177877439","wikidata":"https://www.wikidata.org/wiki/Q7604413","display_name":"Statistical relational learning","level":3,"score":0.6018999814987183},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.5375000238418579},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5192000269889832},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.4950999915599823},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.4163999855518341},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.40939998626708984},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.3950999975204468},{"id":"https://openalex.org/C99436015","wikidata":"https://www.wikidata.org/wiki/Q1722436","display_name":"Relational calculus","level":4,"score":0.367000013589859},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.36250001192092896},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3571999967098236},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.34209999442100525},{"id":"https://openalex.org/C40207289","wikidata":"https://www.wikidata.org/wiki/Q755662","display_name":"Relational model","level":3,"score":0.2969000041484833},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2928999960422516},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.28369998931884766},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.2799000144004822},{"id":"https://openalex.org/C26320393","wikidata":"https://www.wikidata.org/wiki/Q597053","display_name":"Functional dependency","level":3,"score":0.271699994802475},{"id":"https://openalex.org/C65647387","wikidata":"https://www.wikidata.org/wiki/Q1781706","display_name":"Conjunctive query","level":3,"score":0.26759999990463257},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.26269999146461487},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.25780001282691956},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.25279998779296875}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3805622.3810732","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3805622.3810732","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2026 International Conference on Multimedia Retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2605.09420","is_oa":true,"landing_page_url":"https://arxiv.org/abs/2605.09420","pdf_url":"https://arxiv.org/pdf/2605.09420","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1145/3805622.3810732","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3805622.3810732","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2026 International Conference on Multimedia Retrieval","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"In":[0],"this":[1],"study,":[2],"we":[3,35,61,70],"tackle":[4],"Generalized":[5],"Category":[6],"Discovery":[7],"(GCD)":[8],"via":[9],"a":[10],"Relational":[11,37],"Retrieval":[12],"perspective,":[13],"explicitly":[14],"coupling":[15],"labeled":[16,98],"and":[17,123],"unlabeled":[18,102],"data":[19,99],"through":[20,108],"bidirectional":[21,95],"knowledge":[22],"transfer.":[23],"While":[24],"existing":[25],"methods":[26],"treat":[27],"these":[28],"sources":[29],"separately,":[30],"missing":[31],"valuable":[32],"interaction":[33],"opportunities,":[34],"propose":[36],"Pattern":[38],"Consistency":[39],"(RPC)":[40],"that":[41,74],"enables":[42],"mutual":[43],"enhancement.":[44],"RPC":[45,116],"employs":[46],"One-vs-All":[47],"classifiers":[48],"for":[49,58,67],"soft":[50],"ID/OOD":[51],"decomposition,":[52],"then":[53],"introduces":[54],"two":[55],"mechanisms:":[56],"(i)":[57],"known-class":[59,84],"preservation,":[60],"transfer":[62],"semantic":[63],"behavioral":[64],"alignment;":[65],"(ii)":[66],"category":[68,79],"discovery,":[69],"leverage":[71],"the":[72,77],"insight":[73],"samples":[75],"from":[76],"same":[78],"maintain":[80],"invariant":[81],"relationships":[82],"with":[83],"prototypes,":[85],"transforming":[86],"unreliable":[87],"pseudo-labeling":[88],"into":[89],"well-defined":[90],"relational":[91,111],"pattern":[92],"matching.":[93],"This":[94],"design":[96],"allows":[97],"to":[100],"guide":[101],"learning":[103],"while":[104],"discovering":[105],"novel":[106],"categories":[107],"their":[109],"collective":[110],"signatures.":[112],"Extensive":[113],"experiments":[114],"demonstrate":[115],"achieves":[117],"state-of-the-art":[118],"performance":[119],"on":[120],"both":[121],"generic":[122],"fine-grained":[124],"benchmarks.":[125]},"counts_by_year":[],"updated_date":"2026-06-16T07:37:23.134862","created_date":"2026-05-14T00:00:00"}