{"id":"https://openalex.org/W7116905025","doi":"https://doi.org/10.1109/tpami.2025.3647504","title":"Hypergraph Foundation Model","display_name":"Hypergraph Foundation Model","publication_year":2025,"publication_date":"2025-12-23","ids":{"openalex":"https://openalex.org/W7116905025","doi":"https://doi.org/10.1109/tpami.2025.3647504","pmid":"https://pubmed.ncbi.nlm.nih.gov/41433164"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2025.3647504","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2025.3647504","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5121066827","display_name":"Yue Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yue Gao","raw_affiliation_strings":["School of Software, BNRist, THUIBCS, BLBCI, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Software, BNRist, THUIBCS, BLBCI, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101819284","display_name":"Yifan Feng","orcid":"https://orcid.org/0000-0003-0878-2986"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifan Feng","raw_affiliation_strings":["School of Software, BNRist, THUIBCS, BLBCI, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Software, BNRist, THUIBCS, BLBCI, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108130257","display_name":"Shiquan Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiquan Liu","raw_affiliation_strings":["Institute of Artificial Intelligence and Robotics, College of Artificial Intelligence, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, College of Artificial Intelligence, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078405101","display_name":"Xiangmin Han","orcid":"https://orcid.org/0000-0002-6789-0568"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangmin Han","raw_affiliation_strings":["School of Software, BNRist, THUIBCS, BLBCI, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Software, BNRist, THUIBCS, BLBCI, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113731470","display_name":"ShaoYi DU","orcid":null},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaoyi Du","raw_affiliation_strings":["Institute of Artificial Intelligence and Robotics, College of Artificial Intelligence, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Robotics, College of Artificial Intelligence, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114047346","display_name":"Zongze Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongze Wu","raw_affiliation_strings":["College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029363905","display_name":"Han Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han Hu","raw_affiliation_strings":["Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5121066827"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.81406333,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"48","issue":"4","first_page":"4063","last_page":"4080"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.7878999710083008,"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":0.7878999710083008,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.06499999761581421,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.03310000151395798,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/hypergraph","display_name":"Hypergraph","score":0.906499981880188},{"id":"https://openalex.org/keywords/vertex","display_name":"Vertex (graph theory)","score":0.5788000226020813},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5662999749183655},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.44510000944137573},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.37290000915527344},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.37220001220703125},{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.35899999737739563},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.34450000524520874}],"concepts":[{"id":"https://openalex.org/C2781221856","wikidata":"https://www.wikidata.org/wiki/Q840247","display_name":"Hypergraph","level":2,"score":0.906499981880188},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5842999815940857},{"id":"https://openalex.org/C80899671","wikidata":"https://www.wikidata.org/wiki/Q1304193","display_name":"Vertex (graph theory)","level":3,"score":0.5788000226020813},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5662999749183655},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.544700026512146},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.44510000944137573},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.37290000915527344},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.37220001220703125},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.35899999737739563},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3447999954223633},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.34450000524520874},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3433000147342682},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.32019999623298645},{"id":"https://openalex.org/C2778753846","wikidata":"https://www.wikidata.org/wiki/Q6554239","display_name":"Link (geometry)","level":2,"score":0.31439998745918274},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.3034000098705292},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.29269999265670776},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.2784999907016754},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.2703999876976013},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.25619998574256897},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25440001487731934},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.25119999051094055},{"id":"https://openalex.org/C34947359","wikidata":"https://www.wikidata.org/wiki/Q665189","display_name":"Complex network","level":2,"score":0.2500999867916107}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2025.3647504","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2025.3647504","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:41433164","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41433164","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1980867644","https://openalex.org/W2147152072","https://openalex.org/W2163264097","https://openalex.org/W2788125153","https://openalex.org/W2892880750","https://openalex.org/W2896457183","https://openalex.org/W3002924435","https://openalex.org/W3080802002","https://openalex.org/W3085990079","https://openalex.org/W3158396846","https://openalex.org/W3159481202","https://openalex.org/W3190664711","https://openalex.org/W3192478068","https://openalex.org/W4206706211","https://openalex.org/W4282926996","https://openalex.org/W4290876361","https://openalex.org/W4310787484","https://openalex.org/W4321003857","https://openalex.org/W4366977444","https://openalex.org/W4382237408","https://openalex.org/W4390873795","https://openalex.org/W4390874575","https://openalex.org/W4391901119","https://openalex.org/W4392630834","https://openalex.org/W4400524696","https://openalex.org/W4403090753","https://openalex.org/W4407319120","https://openalex.org/W4409560728","https://openalex.org/W4411163776","https://openalex.org/W4411329520","https://openalex.org/W4412795943","https://openalex.org/W7126466349"],"related_works":[],"abstract_inverted_index":{"Hypergraph":[0,55],"neural":[1],"networks":[2,16],"(HGNNs)":[3],"effectively":[4],"model":[5],"complex":[6],"high-order":[7],"relationships":[8],"in":[9,148],"domains":[10],"like":[11],"protein":[12],"interactions":[13],"and":[14,26,47,74,96,137],"social":[15],"by":[17,108],"connecting":[18],"multiple":[19],"vertices":[20],"through":[21],"hyperedges,":[22],"enhancing":[23],"modeling":[24],"capabilities,":[25],"reducing":[27],"information":[28],"loss.":[29],"Developing":[30],"foundation":[31,123],"models":[32],"for":[33,58,70,81,121],"hypergraphs":[34],"is":[35],"challenging":[36],"due":[37],"to":[38,91],"their":[39],"distinct":[40],"data,":[41],"which":[42],"includes":[43],"both":[44],"vertex":[45,71,136],"features":[46],"intricate":[48],"structural":[49,82],"information.":[50,83],"We":[51],"present":[52],"Hyper-FM,":[53],"a":[54],"Foundation":[56],"Model":[57],"multi-domain":[59],"knowledge":[60],"extraction,":[61],"featuring":[62],"Hierarchical":[63,75],"High-Order":[64],"Neighbor":[65],"Guided":[66,77],"Vertex":[67],"Knowledge":[68,79],"Embedding":[69],"feature":[72],"representation":[73],"Multi-Hypergraph":[76],"Structural":[78],"Extraction":[80],"Additionally,":[84],"we":[85,115],"curate":[86],"11":[87],"text-attributed":[88],"hypergraph":[89,122,150],"datasets":[90,101],"advance":[92],"research":[93],"between":[94],"HGNNs":[95],"LLMs.":[97],"Experiments":[98],"on":[99],"these":[100],"show":[102],"that":[103,126],"Hyper-FM":[104],"outperforms":[105],"baseline":[106],"methods":[107],"approximately":[109],"13.4%,":[110],"validating":[111],"our":[112],"approach.":[113],"Furthermore,":[114],"propose":[116],"the":[117,142],"first":[118],"scaling":[119,149],"law":[120],"models,":[124],"demonstrating":[125],"increasing":[127],"domain":[128,146],"diversity":[129,147],"significantly":[130],"enhances":[131],"performance,":[132],"unlike":[133],"merely":[134],"augmenting":[135],"hyperedge":[138],"counts.":[139],"This":[140],"underscores":[141],"critical":[143],"role":[144],"of":[145],"models.":[151]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-12-23T00:00:00"}
