{"id":"https://openalex.org/W3154221903","doi":"https://doi.org/10.1145/3442381.3449954","title":"Multiplex Bipartite Network Embedding using Dual Hypergraph Convolutional Networks","display_name":"Multiplex Bipartite Network Embedding using Dual Hypergraph Convolutional Networks","publication_year":2021,"publication_date":"2021-04-19","ids":{"openalex":"https://openalex.org/W3154221903","doi":"https://doi.org/10.1145/3442381.3449954","mag":"3154221903"},"language":"en","primary_location":{"id":"doi:10.1145/3442381.3449954","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3442381.3449954","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/10.1145/3442381.3449954","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102768105","display_name":"Hansheng Xue","orcid":"https://orcid.org/0000-0002-5263-4844"},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Hansheng Xue","raw_affiliation_strings":["The Australian National University, Australia"],"affiliations":[{"raw_affiliation_string":"The Australian National University, Australia","institution_ids":["https://openalex.org/I118347636"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061887584","display_name":"Luwei Yang","orcid":"https://orcid.org/0000-0003-0358-0007"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luwei Yang","raw_affiliation_strings":["Alibaba Group, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079452621","display_name":"Vaibhav Rajan","orcid":"https://orcid.org/0000-0002-6748-6864"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Vaibhav Rajan","raw_affiliation_strings":["National University of Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100715027","display_name":"Wen Jiang","orcid":"https://orcid.org/0000-0001-8249-6879"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Jiang","raw_affiliation_strings":["Alibaba Group, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100339151","display_name":"Wei Yi","orcid":"https://orcid.org/0000-0001-9878-7048"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Wei","raw_affiliation_strings":["Alibaba Group, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079714822","display_name":"Yu Lin","orcid":"https://orcid.org/0000-0001-6339-2644"},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yu Lin","raw_affiliation_strings":["The Australian National University, Australia"],"affiliations":[{"raw_affiliation_string":"The Australian National University, Australia","institution_ids":["https://openalex.org/I118347636"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5102768105"],"corresponding_institution_ids":["https://openalex.org/I118347636"],"apc_list":null,"apc_paid":null,"fwci":3.6398,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.93962155,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1649","last_page":"1660"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9983999729156494,"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"}},{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9591000080108643,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/bipartite-graph","display_name":"Bipartite graph","score":0.8402118682861328},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7046101093292236},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.7027205228805542},{"id":"https://openalex.org/keywords/hypergraph","display_name":"Hypergraph","score":0.6746600866317749},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.6275197267532349},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5575552582740784},{"id":"https://openalex.org/keywords/link","display_name":"Link (geometry)","score":0.48018184304237366},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4562978744506836},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.431535542011261},{"id":"https://openalex.org/keywords/multiplex","display_name":"Multiplex","score":0.41665780544281006},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.4141295254230499},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.41349127888679504},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24868401885032654},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2242385745048523},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.13464784622192383},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.1278296709060669}],"concepts":[{"id":"https://openalex.org/C197657726","wikidata":"https://www.wikidata.org/wiki/Q174733","display_name":"Bipartite graph","level":3,"score":0.8402118682861328},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7046101093292236},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.7027205228805542},{"id":"https://openalex.org/C2781221856","wikidata":"https://www.wikidata.org/wiki/Q840247","display_name":"Hypergraph","level":2,"score":0.6746600866317749},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.6275197267532349},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5575552582740784},{"id":"https://openalex.org/C2778753846","wikidata":"https://www.wikidata.org/wiki/Q6554239","display_name":"Link (geometry)","level":2,"score":0.48018184304237366},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4562978744506836},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.431535542011261},{"id":"https://openalex.org/C2781188995","wikidata":"https://www.wikidata.org/wiki/Q6934982","display_name":"Multiplex","level":2,"score":0.41665780544281006},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.4141295254230499},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.41349127888679504},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24868401885032654},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2242385745048523},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.13464784622192383},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.1278296709060669},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3442381.3449954","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3442381.3449954","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:10.1145/3442381.3449954","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3442381.3449954","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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1888005072","https://openalex.org/W2143594378","https://openalex.org/W2145658888","https://openalex.org/W2154851992","https://openalex.org/W2187089797","https://openalex.org/W2393319904","https://openalex.org/W2743104969","https://openalex.org/W2770250693","https://openalex.org/W2777884179","https://openalex.org/W2784814091","https://openalex.org/W2799012401","https://openalex.org/W2807021761","https://openalex.org/W2884134047","https://openalex.org/W2892880750","https://openalex.org/W2908500813","https://openalex.org/W2911286998","https://openalex.org/W2911932738","https://openalex.org/W2937762029","https://openalex.org/W2944995967","https://openalex.org/W2945266622","https://openalex.org/W2962756421","https://openalex.org/W2962975498","https://openalex.org/W2963224980","https://openalex.org/W2963707260","https://openalex.org/W2965857891","https://openalex.org/W2970398671","https://openalex.org/W2971267355","https://openalex.org/W2996226706","https://openalex.org/W2997591727","https://openalex.org/W3034374044","https://openalex.org/W3035666843","https://openalex.org/W3080406377","https://openalex.org/W3100848837","https://openalex.org/W3104097132","https://openalex.org/W3104717349","https://openalex.org/W3105705953","https://openalex.org/W3117562715","https://openalex.org/W3134942372"],"related_works":["https://openalex.org/W4376608589","https://openalex.org/W3138003926","https://openalex.org/W4300037846","https://openalex.org/W1630514295","https://openalex.org/W1537073411","https://openalex.org/W2963081352","https://openalex.org/W2472555608","https://openalex.org/W4376608938","https://openalex.org/W4288275998","https://openalex.org/W1532260067"],"abstract_inverted_index":{"A":[0,21],"bipartite":[1,56,66,88,121],"network":[2,25,122],"is":[3,180],"a":[4],"graph":[5],"structure":[6],"where":[7],"nodes":[8],"are":[9,61,90,99],"from":[10,34],"two":[11,124],"distinct":[12,53],"domains":[13],"and":[14,40,43,80,82,93,129,138,147,165,179,186],"only":[15],"inter-domain":[16],"interactions":[17,76],"exist":[18,28],"as":[19],"edges.":[20],"large":[22],"number":[23],"of":[24,55,75,126],"embedding":[26],"methods":[27,60],"to":[29,63,101,142,150,182],"learn":[30,151],"vectorial":[31],"node":[32,42,83,96,153,166,188],"representations":[33],"general":[35],"graphs":[36],"with":[37,136],"both":[38],"homogeneous":[39,127],"heterogeneous":[41],"edge":[44],"types,":[45],"including":[46],"some":[47],"that":[48,71,98,116,173],"can":[49],"specifically":[50],"model":[51,64,115],"the":[52,119],"properties":[54],"networks.":[57],"However,":[58],"these":[59],"inadequate":[62],"multiplex":[65,87,120],"networks":[67,89],"(e.g.,":[68,77],"in":[69],"e-commerce),":[70],"have":[72,94],"multiple":[73],"types":[74],"click,":[78],"inquiry,":[79],"buy)":[81],"attributes.":[84],"Most":[85],"real-world":[86,160],"also":[91],"sparse":[92],"imbalanced":[95,187],"distributions":[97],"challenging":[100],"model.":[102],"In":[103],"this":[104],"paper,":[105],"we":[106],"develop":[107],"an":[108],"unsupervised":[109],"Dual":[110],"HyperGraph":[111],"Convolutional":[112],"Network":[113],"(DualHGCN)":[114],"scalably":[117],"transforms":[118],"into":[123],"sets":[125],"hypergraphs":[128],"uses":[130],"spectral":[131],"hypergraph":[132],"convolutional":[133],"operators,":[134],"along":[135],"intra-":[137],"inter-message":[139],"passing":[140],"strategies":[141],"promote":[143],"information":[144],"exchange":[145],"within":[146],"across":[148],"domains,":[149],"effective":[152],"embeddings.":[154],"We":[155],"benchmark":[156],"DualHGCN":[157,174],"using":[158],"four":[159],"datasets":[161],"on":[162],"link":[163],"prediction":[164],"classification":[167],"tasks.":[168],"Our":[169],"extensive":[170],"experiments":[171],"demonstrate":[172],"significantly":[175],"outperforms":[176],"state-of-the-art":[177],"methods,":[178],"robust":[181],"varying":[183],"sparsity":[184],"levels":[185],"distributions.":[189]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}