{"id":"https://openalex.org/W4412378233","doi":"https://doi.org/10.1145/3726302.3730002","title":"<i>HyperG:</i> Hypergraph-Enhanced LLMs for Structured Knowledge","display_name":"<i>HyperG:</i> Hypergraph-Enhanced LLMs for Structured Knowledge","publication_year":2025,"publication_date":"2025-07-13","ids":{"openalex":"https://openalex.org/W4412378233","doi":"https://doi.org/10.1145/3726302.3730002"},"language":"en","primary_location":{"id":"doi:10.1145/3726302.3730002","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3726302.3730002","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3730002","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3730002","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5115841548","display_name":"Sirui Huang","orcid":"https://orcid.org/0000-0003-1206-2260"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Sirui Huang","raw_affiliation_strings":["University of Technology Sydney, Sydney, Australia and Hong Kong Polytechnic University, Hong Kong SAR, China"],"raw_orcid":"https://orcid.org/0000-0003-1206-2260","affiliations":[{"raw_affiliation_string":"University of Technology Sydney, Sydney, Australia and Hong Kong Polytechnic University, Hong Kong SAR, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017056263","display_name":"H L Li","orcid":"https://orcid.org/0009-0000-6332-6241"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hanqian Li","raw_affiliation_strings":["Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China"],"raw_orcid":"https://orcid.org/0009-0000-6332-6241","affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091746601","display_name":"Yanggan Gu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yanggan Gu","raw_affiliation_strings":["Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China"],"raw_orcid":"https://orcid.org/0009-0005-4982-8604","affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043651092","display_name":"Xuming Hu","orcid":"https://orcid.org/0000-0001-6075-4224"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xuming Hu","raw_affiliation_strings":["Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-6075-4224","affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100404176","display_name":"Qing Li","orcid":"https://orcid.org/0000-0003-3370-471X"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Qing Li","raw_affiliation_strings":["Hong Kong Polytechnic University, Hong Kong SAR, China"],"raw_orcid":"https://orcid.org/0000-0003-3370-471X","affiliations":[{"raw_affiliation_string":"Hong Kong Polytechnic University, Hong Kong SAR, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051512158","display_name":"Guandong Xu","orcid":"https://orcid.org/0000-0003-4493-6663"},"institutions":[{"id":"https://openalex.org/I4210086892","display_name":"Education University of Hong Kong","ror":"https://ror.org/000t0f062","country_code":"HK","type":"education","lineage":["https://openalex.org/I4210086892"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Guandong Xu","raw_affiliation_strings":["University of Technology Sydney, Sydney, Australia and Education University of Hong Kong, Hong Kong SAR, China"],"raw_orcid":"https://orcid.org/0000-0003-4493-6663","affiliations":[{"raw_affiliation_string":"University of Technology Sydney, Sydney, Australia and Education University of Hong Kong, Hong Kong SAR, China","institution_ids":["https://openalex.org/I4210086892"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1218","last_page":"1228"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9973999857902527,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9973999857902527,"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/T10028","display_name":"Topic Modeling","score":0.9955000281333923,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9819999933242798,"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/hypergraph","display_name":"Hypergraph","score":0.6750677824020386},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.568233072757721},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.3410627841949463},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1088331937789917},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.0715487003326416}],"concepts":[{"id":"https://openalex.org/C2781221856","wikidata":"https://www.wikidata.org/wiki/Q840247","display_name":"Hypergraph","level":2,"score":0.6750677824020386},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.568233072757721},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.3410627841949463},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1088331937789917},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0715487003326416}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3726302.3730002","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3726302.3730002","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3730002","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3726302.3730002","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3726302.3730002","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3730002","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2729752981","display_name":"\u57fa\u4e8e\u56e0\u679c\u5206\u6790\u7684\u53ef\u89e3\u91ca\u63a8\u8350\u7cfb\u7edf\u7684\u7b97\u6cd5\u7406\u8bba\u4e0e\u5e94\u7528\u7814\u7a76","funder_award_id":"62072257","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2998015864","display_name":null,"funder_award_id":"DP22010371, LE220100078","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"},{"id":"https://openalex.org/G6545731508","display_name":null,"funder_award_id":"DP22010371","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7441462280","display_name":null,"funder_award_id":"62072257","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"},{"id":"https://openalex.org/G761888125","display_name":null,"funder_award_id":"LE220100078","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320307285","display_name":"Impact Fund","ror":"https://ror.org/00jb20j87"},{"id":"https://openalex.org/F4320318398","display_name":"Ant Group","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323537","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597"},{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412378233.pdf","grobid_xml":"https://content.openalex.org/works/W4412378233.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W2750779823","https://openalex.org/W2892880750","https://openalex.org/W2914304175","https://openalex.org/W2963899988","https://openalex.org/W3085990079","https://openalex.org/W3210379211","https://openalex.org/W4384642600","https://openalex.org/W4389518605","https://openalex.org/W4389520779","https://openalex.org/W4391876619","https://openalex.org/W4393147025","https://openalex.org/W4396735838","https://openalex.org/W4396817330","https://openalex.org/W4396945188","https://openalex.org/W4399343921","https://openalex.org/W4401042236","https://openalex.org/W4401042314","https://openalex.org/W4401043020","https://openalex.org/W4401043213","https://openalex.org/W4401863346","https://openalex.org/W4402671198"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4376608589","https://openalex.org/W1537073411","https://openalex.org/W1948107826","https://openalex.org/W3138003926","https://openalex.org/W1630514295","https://openalex.org/W4300037846","https://openalex.org/W4288275998"],"abstract_inverted_index":{"Given":[0],"that":[1],"substantial":[2],"amounts":[3],"of":[4,87,119,149],"domain-specific":[5],"knowledge":[6],"are":[7,23],"stored":[8],"in":[9,35,72],"structured":[10,29,46,88,104,161],"formats,":[11],"such":[12],"as":[13,67],"web":[14],"data":[15,47,111],"organized":[16],"through":[17],"HTML,":[18],"Large":[19],"Language":[20],"Models":[21],"(LLMs)":[22],"expected":[24],"to":[25,31,45,102,129],"fully":[26,73],"comprehend":[27],"this":[28],"information":[30,134],"broaden":[32],"their":[33],"applications":[34],"various":[36],"real-world":[37],"downstream":[38,158],"tasks.":[39],"Current":[40],"approaches":[41],"for":[42],"applying":[43],"LLMs":[44],"fall":[48],"into":[49],"two":[50,156],"main":[51],"categories:":[52],"serialization-based":[53],"and":[54,77,121,135,147],"operation-based":[55],"methods.":[56],"Both":[57],"approaches,":[58],"whether":[59],"relying":[60],"on":[61],"serialization":[62],"or":[63],"using":[64],"SQL-like":[65],"operations":[66],"an":[68],"intermediary,":[69],"encounter":[70],"difficulties":[71],"capturing":[74],"structural":[75,138],"relationships":[76,139],"effectively":[78],"handling":[79],"sparse":[80,110],"data.":[81,142],"To":[82,143],"address":[83],"these":[84],"unique":[85],"characteristics":[86],"data,":[89],"we":[90,151],"propose":[91],"HyperG,":[92,150],"a":[93,123],"hypergraph-based":[94],"generation":[95],"framework":[96],"aimed":[97],"at":[98],"enhancing":[99],"LLMs'":[100],"ability":[101],"process":[103],"knowledge.":[105,162],"Specifically,":[106],"HyperG":[107],"first":[108],"augment":[109],"with":[112],"contextual":[113],"information,":[114],"leveraging":[115],"the":[116,132,136,141,145],"generative":[117],"power":[118],"LLMs,":[120],"incorporate":[122],"prompt-attentive":[124],"hypergraph":[125],"learning":[126],"(PHL)":[127],"network":[128],"encode":[130],"both":[131],"augmented":[133],"intricate":[137],"within":[140],"validate":[144],"effectiveness":[146],"generalization":[148],"conduct":[152],"extensive":[153],"experiments":[154],"across":[155],"different":[157],"tasks":[159],"requiring":[160],"Our":[163],"code":[164],"is":[165],"publicly":[166],"available":[167],"at:":[168],"https://github.com/s1ruihuang/HyperG.":[169]},"counts_by_year":[{"year":2026,"cited_by_count":3}],"updated_date":"2026-07-16T13:24:37.021932","created_date":"2025-10-10T00:00:00"}
