{"id":"https://openalex.org/W4411550835","doi":"https://doi.org/10.1109/tkde.2025.3581963","title":"A Universal Subhypergraph-Assisted Embedding Framework for Both Homogeneous and Heterogeneous Networks","display_name":"A Universal Subhypergraph-Assisted Embedding Framework for Both Homogeneous and Heterogeneous Networks","publication_year":2025,"publication_date":"2025-06-23","ids":{"openalex":"https://openalex.org/W4411550835","doi":"https://doi.org/10.1109/tkde.2025.3581963"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2025.3581963","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2025.3581963","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"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 Knowledge and Data Engineering","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/A5111428205","display_name":"S.C. Mo","orcid":"https://orcid.org/0009-0005-7907-7178"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]},{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shibing Mo","raw_affiliation_strings":["School of Artifcial Intelligence and the Guangzhou Institute of Technology, Xidian University, Guangzhou, China","Guangzhou Institute of Technology, Xidian University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Artifcial Intelligence and the Guangzhou Institute of Technology, Xidian University, Guangzhou, China","institution_ids":["https://openalex.org/I37987034"]},{"raw_affiliation_string":"Guangzhou Institute of Technology, Xidian University, Guangzhou, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042065643","display_name":"Xiangyi Teng","orcid":"https://orcid.org/0000-0001-5964-0123"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangyi Teng","raw_affiliation_strings":["Guangzhou Institute of Technology, Xidian University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Guangzhou Institute of Technology, Xidian University, Guangzhou, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037706636","display_name":"Kai Wu","orcid":"https://orcid.org/0000-0002-1852-6364"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Wu","raw_affiliation_strings":["School of Artifcial Intelligence, Xidian University, Xian, China","Guangzhou Institute of Technology, Xidian University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Artifcial Intelligence, Xidian University, Xian, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Guangzhou Institute of Technology, Xidian University, Guangzhou, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100375038","display_name":"Jing Liu","orcid":"https://orcid.org/0000-0002-6834-5350"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]},{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Liu","raw_affiliation_strings":["School of Artifcial Intelligence and the Guangzhou Institute of Technology, Xidian University, Guangzhou, China","Guangzhou Institute of Technology, Xidian University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Artifcial Intelligence and the Guangzhou Institute of Technology, Xidian University, Guangzhou, China","institution_ids":["https://openalex.org/I37987034"]},{"raw_affiliation_string":"Guangzhou Institute of Technology, Xidian University, Guangzhou, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087996008","display_name":"Kaixin Yuan","orcid":"https://orcid.org/0000-0002-4163-5577"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaixin Yuan","raw_affiliation_strings":["School of Artifcial Intelligence, Xidian University, Xian, China","Guangzhou Institute of Technology, Xidian University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Artifcial Intelligence, Xidian University, Xian, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"Guangzhou Institute of Technology, Xidian University, Guangzhou, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5111428205"],"corresponding_institution_ids":["https://openalex.org/I149594827","https://openalex.org/I37987034"],"apc_list":null,"apc_paid":null,"fwci":14.141,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.9858979,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"37","issue":"9","first_page":"4935","last_page":"4947"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.977400004863739,"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":0.977400004863739,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9483000040054321,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7838644981384277},{"id":"https://openalex.org/keywords/homogeneous","display_name":"Homogeneous","score":0.682228147983551},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5341631174087524},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3768584728240967},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26703935861587524},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11786183714866638}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7838644981384277},{"id":"https://openalex.org/C66882249","wikidata":"https://www.wikidata.org/wiki/Q169336","display_name":"Homogeneous","level":2,"score":0.682228147983551},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5341631174087524},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3768584728240967},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26703935861587524},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11786183714866638},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2025.3581963","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2025.3581963","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"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 Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1193600221","display_name":null,"funder_award_id":"62306224","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G244293025","display_name":null,"funder_award_id":"YJSJ25014","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G4520797107","display_name":null,"funder_award_id":"62471371","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W1954241630","https://openalex.org/W2130354913","https://openalex.org/W2604314403","https://openalex.org/W2743104969","https://openalex.org/W2788359323","https://openalex.org/W2892880750","https://openalex.org/W2911286998","https://openalex.org/W2962756421","https://openalex.org/W2965857891","https://openalex.org/W2977707586","https://openalex.org/W2998423439","https://openalex.org/W3004507689","https://openalex.org/W3012871709","https://openalex.org/W3030145375","https://openalex.org/W3030163527","https://openalex.org/W3106229813","https://openalex.org/W3128443161","https://openalex.org/W3153673236","https://openalex.org/W3170955759","https://openalex.org/W3172710079","https://openalex.org/W3183241772","https://openalex.org/W3190794503","https://openalex.org/W3206796480","https://openalex.org/W3208506679","https://openalex.org/W3212259269","https://openalex.org/W4285378361","https://openalex.org/W4295921726","https://openalex.org/W4303987227","https://openalex.org/W4321479942","https://openalex.org/W4321499591","https://openalex.org/W4361247926","https://openalex.org/W4365205344","https://openalex.org/W4367047244","https://openalex.org/W4385245566","https://openalex.org/W4387847650","https://openalex.org/W4392305668","https://openalex.org/W4401863559","https://openalex.org/W4408183463","https://openalex.org/W4409363758","https://openalex.org/W6699364125","https://openalex.org/W6726873649","https://openalex.org/W6738964360","https://openalex.org/W6752110883","https://openalex.org/W6755207826","https://openalex.org/W6756561102","https://openalex.org/W6761659004","https://openalex.org/W6771621015","https://openalex.org/W6779490673","https://openalex.org/W6779680381","https://openalex.org/W6783485119","https://openalex.org/W6784977419","https://openalex.org/W6793215027","https://openalex.org/W6798141675","https://openalex.org/W6841058540","https://openalex.org/W6846422491","https://openalex.org/W6846424470","https://openalex.org/W6851775633","https://openalex.org/W6869262092"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2081900870","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2932872266"],"abstract_inverted_index":{"In":[0],"real-world":[1,187,205],"scenarios,":[2],"most":[3,186],"complex":[4],"systems":[5],"can":[6,111,181],"be":[7,182],"generally":[8],"modelled":[9],"as":[10],"homogenous":[11],"or":[12,50],"heterogenous":[13],"networks.":[14],"Therefore,":[15],"downstream":[16],"tasks":[17,61,221],"(e.g.,":[18],"node/graph":[19],"classification,":[20],"node":[21,43,59,92,217],"clustering)":[22],"based":[23,82],"on":[24,42,47,55,62,83,94,176,199,255],"these":[25],"two":[26],"types":[27,64],"of":[28,65,102,128,150,157,168,211,228,257],"graphs":[29,66,206],"become":[30],"ubiquitous":[31],"and":[32,85,97,104,116,137,152,202,219],"have":[33],"drawn":[34],"considerable":[35],"attentions":[36],"in":[37],"recent":[38],"years.":[39],"Existing":[40],"literatures":[41],"classification":[44,60,218],"mainly":[45],"focuses":[46],"either":[48],"homogeneous":[49,96,115,201],"heterogeneous":[51,98,117,204],"graphs,":[52],"while":[53],"research":[54],"effectively":[56],"carrying":[57],"out":[58],"both":[63,95],"simultaneously":[67,112],"still":[68],"under-exploited.":[69],"To":[70],"fill":[71],"this":[72],"gap,":[73],"we":[74,159,195],"propose":[75],"a":[76],"universal":[77],"Graph":[78,119],"Neural":[79],"Network":[80],"architecture":[81],"Subgraph":[84],"Subhypergraph":[86],"(SS-GNN)":[87],"with":[88,106,114],"feature-enhanced":[89],"strategy":[90],"for":[91,216,242],"embedding":[93,155],"graphs.":[99,118],"Through":[100],"construction":[101],"subgraph":[103],"subhypergraph":[105],"same-class":[107,129,169],"nodes,":[108,158],"our":[109,179,229],"model":[110,180,231],"deal":[113],"attention":[120,163],"modules":[121,164],"are":[122],"especially":[123],"designed":[124],"to":[125,131,146,165,185,207,233,252],"embed":[126,166],"subgraphs":[127],"nodes":[130],"learn":[132],"the":[133,142,154,209,225,253],"internal":[134],"topological":[135],"structure":[136,140],"local":[138],"community":[139],"within":[141],"original":[143],"graph.":[144],"Additionally,":[145],"capture":[147],"high-order":[148],"features":[149],"graph":[151,243,258],"enhance":[153],"representations":[156],"also":[160,236],"utilize":[161],"hypergraph":[162],"subhypergraphs":[167],"nodes.":[170],"Unlike":[171],"other":[172],"approaches":[173],"that":[174],"rely":[175],"pre-defined":[177],"meta-paths,":[178],"readily":[183],"applied":[184],"applications":[188],"without":[189],"requiring":[190],"any":[191],"domain":[192],"knowledge.":[193],"Finally,":[194],"conduct":[196],"extensive":[197],"experiments":[198],"three":[200,203],"demonstrate":[208,237],"effectiveness":[210],"SS-GNN.":[212],"The":[213],"experimental":[214],"results":[215],"clustering":[220],"not":[222],"only":[223],"show":[224],"superior":[226],"performance":[227],"proposed":[230],"compared":[232],"state-of-the-art,":[234],"but":[235],"its":[238],"potentially":[239],"good":[240],"interpretability":[241],"analysis.":[244],"This":[245],"work":[246],"may":[247],"provide":[248],"some":[249],"enlightening":[250],"insights":[251],"study":[254],"universality":[256],"foundation":[259],"model.":[260]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}