{"id":"https://openalex.org/W3208349229","doi":"https://doi.org/10.1145/3459637.3482351","title":"Hyperbolic Hypergraphs for Sequential Recommendation","display_name":"Hyperbolic Hypergraphs for Sequential Recommendation","publication_year":2021,"publication_date":"2021-10-26","ids":{"openalex":"https://openalex.org/W3208349229","doi":"https://doi.org/10.1145/3459637.3482351","mag":"3208349229"},"language":"en","primary_location":{"id":"doi:10.1145/3459637.3482351","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3459637.3482351","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3459637.3482351","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Information &amp; Knowledge Management","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3459637.3482351","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053257302","display_name":"Yicong Li","orcid":"https://orcid.org/0000-0001-7905-4885"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Yicong Li","raw_affiliation_strings":["University of Technology Sydney, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"University of Technology Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009606065","display_name":"Hongxu Chen","orcid":"https://orcid.org/0000-0001-7963-8813"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Hongxu Chen","raw_affiliation_strings":["University of Technology Sydney, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"University of Technology Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072003807","display_name":"Xiangguo Sun","orcid":"https://orcid.org/0000-0002-2224-4634"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangguo Sun","raw_affiliation_strings":["Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020412888","display_name":"Zhenchao Sun","orcid":"https://orcid.org/0000-0002-9590-0962"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenchao Sun","raw_affiliation_strings":["Shandong University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100412815","display_name":"Lin Li","orcid":"https://orcid.org/0000-0001-7553-6916"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Li","raw_affiliation_strings":["Wuhan University of Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"Wuhan University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101414718","display_name":"Lizhen Cui","orcid":"https://orcid.org/0000-0002-8262-8883"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lizhen Cui","raw_affiliation_strings":["Shandong University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036357902","display_name":"Philip S. Yu","orcid":"https://orcid.org/0000-0002-3491-5968"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Philip S. Yu","raw_affiliation_strings":["University of Illinois at Chicago, Chicago, IL, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Chicago, Chicago, IL, USA","institution_ids":["https://openalex.org/I39422238"]}]},{"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/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Guandong Xu","raw_affiliation_strings":["University of Technology Sydney, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"University of Technology Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5053257302"],"corresponding_institution_ids":["https://openalex.org/I114017466"],"apc_list":null,"apc_paid":null,"fwci":14.3211,"has_fulltext":true,"cited_by_count":63,"citation_normalized_percentile":{"value":0.98918688,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"988","last_page":"997"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.9980999827384949,"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":0.9787999987602234,"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":0.8372378349304199},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7849634885787964},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6220741868019104},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.6176943778991699},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5598047971725464},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.43712788820266724},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.43594983220100403},{"id":"https://openalex.org/keywords/timestamp","display_name":"Timestamp","score":0.4284169673919678},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.376125305891037},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36873239278793335},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0940767228603363}],"concepts":[{"id":"https://openalex.org/C2781221856","wikidata":"https://www.wikidata.org/wiki/Q840247","display_name":"Hypergraph","level":2,"score":0.8372378349304199},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7849634885787964},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6220741868019104},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.6176943778991699},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5598047971725464},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.43712788820266724},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.43594983220100403},{"id":"https://openalex.org/C113954288","wikidata":"https://www.wikidata.org/wiki/Q186885","display_name":"Timestamp","level":2,"score":0.4284169673919678},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.376125305891037},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36873239278793335},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0940767228603363},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3459637.3482351","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3459637.3482351","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3459637.3482351","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Information &amp; Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3459637.3482351","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3459637.3482351","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3459637.3482351","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Information &amp; Knowledge Management","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.4300000071525574,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G3826598724","display_name":null,"funder_award_id":"III-1763325, III-1909323, III-2106758, SaTC-1930941","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5801682510","display_name":null,"funder_award_id":"DP200101374, LP170100891","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3208349229.pdf","grobid_xml":"https://content.openalex.org/works/W3208349229.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W2086142729","https://openalex.org/W2625746539","https://openalex.org/W2626454364","https://openalex.org/W2626778328","https://openalex.org/W2766198935","https://openalex.org/W2888983470","https://openalex.org/W2893359107","https://openalex.org/W2899457523","https://openalex.org/W2902040508","https://openalex.org/W2908404712","https://openalex.org/W2914050157","https://openalex.org/W2951217911","https://openalex.org/W2951645301","https://openalex.org/W2963367478","https://openalex.org/W2971196067","https://openalex.org/W2982490267","https://openalex.org/W2982623063","https://openalex.org/W2984100107","https://openalex.org/W2985880542","https://openalex.org/W2999127310","https://openalex.org/W3034714642","https://openalex.org/W3034853385","https://openalex.org/W3035666843","https://openalex.org/W3065542300","https://openalex.org/W3081002710","https://openalex.org/W3093888250","https://openalex.org/W3094605801","https://openalex.org/W3098231197","https://openalex.org/W3100260481","https://openalex.org/W3101707147","https://openalex.org/W3102619277","https://openalex.org/W3104326162","https://openalex.org/W3105879597","https://openalex.org/W3113595157","https://openalex.org/W3117562715","https://openalex.org/W3153325943","https://openalex.org/W3153663296","https://openalex.org/W3155496675","https://openalex.org/W3198457408"],"related_works":["https://openalex.org/W2060561905","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/W1417711376","https://openalex.org/W4288275998","https://openalex.org/W2963081352"],"abstract_inverted_index":{"Hypergraphs":[0],"have":[1],"been":[2],"becoming":[3],"a":[4,33,79,137,155],"popular":[5],"choice":[6],"to":[7,32,104,110,122,140,162,175,183,194],"model":[8],"complex,":[9],"non-pairwise,":[10],"and":[11,41,198],"higher-order":[12],"interactions":[13],"for":[14,88],"recommender":[15],"systems.":[16],"However,":[17],"compared":[18],"with":[19,94],"traditional":[20],"graph-based":[21],"methods,":[22],"the":[23,37,42,51,63,68,72,95,106,115,124,128,147,164,196,202],"constructed":[24],"hypergraphs":[25,40],"are":[26,188],"usually":[27],"much":[28],"sparser,":[29],"which":[30,57],"leads":[31],"dilemma":[34],"when":[35],"balancing":[36],"benefits":[38],"of":[39,71,150,201],"modelling":[43,53],"difficulty.":[44],"Moreover,":[45],"existing":[46,73],"sequential":[47,75],"hypergraph":[48,158],"recommendation":[49,64,117,129],"overlooks":[50],"temporal":[52],"among":[54],"user":[55],"relationships,":[56],"neglects":[58],"rich":[59],"social":[60,178],"signals":[61],"from":[62],"data.":[65],"To":[66,145],"tackle":[67],"above":[69],"shortcomings":[70],"hypergraph-based":[74],"recommendations,":[76],"we":[77,99,131,153,169],"propose":[78],"novel":[80],"architecture":[81,118],"named":[82],"Hyperbolic":[83],"Hypergraph":[84],"representation":[85],"learning":[86],"method":[87],"Sequential":[89],"Recommendation":[90],"(":[91],"2":[92],")":[93],"pre-training":[96,107],"phase.":[97],"Specifically,":[98],"design":[100,170],"three":[101],"self-supervised":[102],"tasks":[103],"obtain":[105],"item":[108,134,166,172],"embeddings":[109,135],"feed":[111],"or":[112],"fuse":[113],"into":[114],"following":[116],"(with":[119],"two":[120,191],"ways":[121],"use":[123],"pre-trained":[125],"embeddings).":[126],"In":[127],"phase,":[130],"learn":[132,163],"multi-scale":[133],"via":[136],"hierarchical":[138],"structure":[139],"capture":[141,176],"multiple":[142],"time-span":[143],"information.":[144],"alleviate":[146],"negative":[148],"impact":[149],"sparse":[151],"hypergraphs,":[152],"utilize":[154],"hyperbolic":[156],"space-based":[157],"convolutional":[159],"neural":[160],"network":[161],"dynamic":[165,177],"embeddings.":[167],"Also,":[168],"an":[171],"enhancement":[173],"module":[174],"information":[179],"at":[180],"each":[181],"timestamp":[182],"improve":[184],"effectiveness.":[185],"Extensive":[186],"experiments":[187],"conducted":[189],"on":[190],"realworld":[192],"datasets":[193],"prove":[195],"effectiveness":[197],"high":[199],"performance":[200],"model.":[203]},"counts_by_year":[{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":21},{"year":2023,"cited_by_count":21},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
