{"id":"https://openalex.org/W3153106544","doi":"https://doi.org/10.1145/3442381.3450101","title":"HGCF: Hyperbolic Graph Convolution Networks for Collaborative Filtering","display_name":"HGCF: Hyperbolic Graph Convolution Networks for Collaborative Filtering","publication_year":2021,"publication_date":"2021-04-19","ids":{"openalex":"https://openalex.org/W3153106544","doi":"https://doi.org/10.1145/3442381.3450101","mag":"3153106544"},"language":"en","primary_location":{"id":"doi:10.1145/3442381.3450101","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3442381.3450101","pdf_url":null,"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 Web Conference 2021","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3442381.3450101","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101057614","display_name":"Jianing Sun","orcid":"https://orcid.org/0009-0001-4943-6038"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jianing Sun","raw_affiliation_strings":["Layer 6 AI, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Layer 6 AI, Canada","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062856371","display_name":"Zhaoyue Cheng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhaoyue Cheng","raw_affiliation_strings":["Layer 6 AI, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Layer 6 AI, Canada","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063945225","display_name":"Saba Zuberi","orcid":"https://orcid.org/0000-0002-7729-6335"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Saba Zuberi","raw_affiliation_strings":["Layer 6 AI, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Layer 6 AI, Canada","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108282056","display_name":"Felipe P\u00e9rez","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Felipe Perez","raw_affiliation_strings":["Layer 6 AI, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Layer 6 AI, Canada","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027341076","display_name":"Maksims Volkovs","orcid":"https://orcid.org/0009-0007-0561-2187"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Maksims Volkovs","raw_affiliation_strings":["Layer 6 AI, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Layer 6 AI, Canada","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101057614"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":23.6357,"has_fulltext":false,"cited_by_count":116,"citation_normalized_percentile":{"value":0.99554845,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"593","last_page":"601"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9976999759674072,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9876999855041504,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7263878583908081},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.6276247501373291},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5677477121353149},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5596343874931335},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5319378972053528},{"id":"https://openalex.org/keywords/hyperbolic-tree","display_name":"Hyperbolic tree","score":0.4841350018978119},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.4815973937511444},{"id":"https://openalex.org/keywords/hyperbolic-space","display_name":"Hyperbolic space","score":0.4599006175994873},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.45724084973335266},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.455483615398407},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.45522698760032654},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.4472469091415405},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4299851357936859},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4151572585105896},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40235474705696106},{"id":"https://openalex.org/keywords/hyperbolic-function","display_name":"Hyperbolic function","score":0.3442593812942505},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.2651161551475525},{"id":"https://openalex.org/keywords/hyperbolic-manifold","display_name":"Hyperbolic manifold","score":0.20636656880378723},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.18146568536758423},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15674328804016113}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7263878583908081},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.6276247501373291},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5677477121353149},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5596343874931335},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5319378972053528},{"id":"https://openalex.org/C97654310","wikidata":"https://www.wikidata.org/wiki/Q574023","display_name":"Hyperbolic tree","level":4,"score":0.4841350018978119},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.4815973937511444},{"id":"https://openalex.org/C83677898","wikidata":"https://www.wikidata.org/wiki/Q1878538","display_name":"Hyperbolic space","level":2,"score":0.4599006175994873},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.45724084973335266},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.455483615398407},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.45522698760032654},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.4472469091415405},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4299851357936859},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4151572585105896},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40235474705696106},{"id":"https://openalex.org/C92047909","wikidata":"https://www.wikidata.org/wiki/Q204034","display_name":"Hyperbolic function","level":2,"score":0.3442593812942505},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.2651161551475525},{"id":"https://openalex.org/C70984080","wikidata":"https://www.wikidata.org/wiki/Q2619102","display_name":"Hyperbolic manifold","level":3,"score":0.20636656880378723},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.18146568536758423},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15674328804016113},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3442381.3450101","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3442381.3450101","pdf_url":null,"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 Web Conference 2021","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3442381.3450101","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3442381.3450101","pdf_url":null,"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 Web Conference 2021","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.6600000262260437,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1971215074","https://openalex.org/W2018049970","https://openalex.org/W2138674039","https://openalex.org/W2194775991","https://openalex.org/W2217701558","https://openalex.org/W2290847742","https://openalex.org/W2406128552","https://openalex.org/W2519887557","https://openalex.org/W2579549467","https://openalex.org/W2600702321","https://openalex.org/W2604433096","https://openalex.org/W2751808960","https://openalex.org/W2783565819","https://openalex.org/W2804069376","https://openalex.org/W2886970679","https://openalex.org/W2945827670","https://openalex.org/W2962936818","https://openalex.org/W2963653811","https://openalex.org/W2963841265","https://openalex.org/W2963849380","https://openalex.org/W2964113829","https://openalex.org/W2970726356","https://openalex.org/W2982490267","https://openalex.org/W2990045899","https://openalex.org/W2996028985","https://openalex.org/W2997457842","https://openalex.org/W2998128907","https://openalex.org/W2998496395","https://openalex.org/W3034992133","https://openalex.org/W3035102141","https://openalex.org/W3035134435","https://openalex.org/W3035143414","https://openalex.org/W3035287707","https://openalex.org/W3045200674","https://openalex.org/W3049759836","https://openalex.org/W3080884086","https://openalex.org/W3081410692","https://openalex.org/W3098934552","https://openalex.org/W3100157108","https://openalex.org/W3100278010","https://openalex.org/W3100591234","https://openalex.org/W3102317997","https://openalex.org/W6752141533"],"related_works":["https://openalex.org/W72667063","https://openalex.org/W4385573134","https://openalex.org/W3163066421","https://openalex.org/W4308618232","https://openalex.org/W3169148677","https://openalex.org/W2489356737","https://openalex.org/W2399450755","https://openalex.org/W1608408498","https://openalex.org/W2094418681","https://openalex.org/W2362866365"],"abstract_inverted_index":{"Hyperbolic":[0],"spaces":[1],"offer":[2,201],"a":[3,95,100,117,167],"rich":[4],"setup":[5],"to":[6,35,84],"learn":[7,36],"embeddings":[8,196],"with":[9,116],"superior":[10],"properties":[11,128,191],"that":[12,56,109,123,199],"have":[13,32],"been":[14,33],"leveraged":[15],"in":[16,43,59,94,138],"areas":[17],"such":[18],"as":[19],"computer":[20],"vision,":[21],"natural":[22],"language":[23],"processing":[24],"and":[25,41,121,164,178,197],"computational":[26],"biology.":[27],"Recently,":[28],"several":[29],"hyperbolic":[30,101,124,145,195],"approaches":[31,49],"proposed":[34],"robust":[37],"representations":[38],"for":[39,104,209],"users":[40],"items":[42],"the":[44,52,60,69,130,144,149,152,183,190,193,205],"recommendation":[45,61],"setting.":[46,133],"However,":[47],"these":[48,92],"don\u2019t":[50],"capture":[51],"higher":[53,75],"order":[54,76],"relationships":[55],"typically":[57],"exist":[58],"domain.":[62],"Graph":[63],"convolutional":[64],"neural":[65],"networks":[66],"(GCNs)":[67],"on":[68,160],"other":[70],"hand":[71],"excel":[72],"at":[73],"capturing":[74],"information":[77],"by":[78,98],"applying":[79],"multiple":[80],"levels":[81],"of":[82,151,170,192],"aggregation":[83],"local":[85],"representations.":[86],"In":[87],"this":[88,210],"paper":[89],"we":[90],"combine":[91],"frameworks":[93],"novel":[96],"way,":[97],"proposing":[99],"GCN":[102,185],"model":[103,111,140],"collaborative":[105],"filtering.":[106],"We":[107,155,187],"demonstrate":[108],"our":[110,139],"can":[112],"be":[113],"effectively":[114],"learned":[115,153,194],"margin":[118,132],"ranking":[119],"loss,":[120],"show":[122,198],"space":[125],"has":[126],"desirable":[127],"under":[129],"rank":[131],"At":[134],"test":[135],"time,":[136],"inference":[137],"is":[141,212],"done":[142],"using":[143],"distance":[146],"which":[147],"preserves":[148],"structure":[150],"space.":[154],"conduct":[156],"extensive":[157],"empirical":[158],"analysis":[159],"three":[161],"public":[162],"benchmarks":[163],"compare":[165],"against":[166],"large":[168],"set":[169],"baselines.":[171],"Our":[172],"approach":[173],"achieves":[174],"highly":[175],"competitive":[176],"results":[177],"outperforms":[179],"leading":[180],"baselines":[181],"including":[182],"Euclidean":[184],"counterpart.":[186],"further":[188],"study":[189],"they":[200],"meaningful":[202],"insights":[203],"into":[204],"data.":[206],"Full":[207],"code":[208],"work":[211],"available":[213],"here:":[214],"https://github.com/layer6ai-labs/HGCF.":[215]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":27},{"year":2024,"cited_by_count":26},{"year":2023,"cited_by_count":33},{"year":2022,"cited_by_count":19},{"year":2021,"cited_by_count":5}],"updated_date":"2026-04-28T14:05:53.105641","created_date":"2025-10-10T00:00:00"}