{"id":"https://openalex.org/W4380089722","doi":"https://doi.org/10.1007/s41019-023-00215-w","title":"Signal Contrastive Enhanced Graph Collaborative Filtering for Recommendation","display_name":"Signal Contrastive Enhanced Graph Collaborative Filtering for Recommendation","publication_year":2023,"publication_date":"2023-06-09","ids":{"openalex":"https://openalex.org/W4380089722","doi":"https://doi.org/10.1007/s41019-023-00215-w"},"language":"en","primary_location":{"id":"doi:10.1007/s41019-023-00215-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41019-023-00215-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41019-023-00215-w.pdf","source":{"id":"https://openalex.org/S2486411021","display_name":"Data Science and Engineering","issn_l":"2364-1185","issn":["2364-1185","2364-1541"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Science and Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s41019-023-00215-w.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100337938","display_name":"Zhiyuan Li","orcid":"https://orcid.org/0000-0002-4616-1841"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi-Yuan Li","raw_affiliation_strings":["Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, Guangzhou, China","School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, Guangzhou, China","institution_ids":["https://openalex.org/I1327237609"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101982673","display_name":"Man-Sheng Chen","orcid":"https://orcid.org/0000-0001-6578-0616"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Man-Sheng Chen","raw_affiliation_strings":["Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, Guangzhou, China","School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, Guangzhou, China","institution_ids":["https://openalex.org/I1327237609"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006224825","display_name":"Yuefang Gao","orcid":"https://orcid.org/0000-0003-4794-9961"},"institutions":[{"id":"https://openalex.org/I101479585","display_name":"South China Agricultural University","ror":"https://ror.org/05v9jqt67","country_code":"CN","type":"education","lineage":["https://openalex.org/I101479585"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuefang Gao","raw_affiliation_strings":["College of Mathematics and Informatics, South China Agricultural University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mathematics and Informatics, South China Agricultural University, Guangzhou, China","institution_ids":["https://openalex.org/I101479585"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076335744","display_name":"Chang\u2010Dong Wang","orcid":"https://orcid.org/0000-0001-5972-559X"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chang-Dong Wang","raw_affiliation_strings":["Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, Guangzhou, China","School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-5972-559X","affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Intelligence and Advanced Computing, Ministry of Education, Guangzhou, China","institution_ids":["https://openalex.org/I1327237609"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5076335744"],"corresponding_institution_ids":["https://openalex.org/I1327237609","https://openalex.org/I157773358"],"apc_list":{"value":1290,"currency":"USD","value_usd":1290},"apc_paid":{"value":1290,"currency":"USD","value_usd":1290},"fwci":4.7234,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.95077799,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"8","issue":"3","first_page":"318","last_page":"328"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9947999715805054,"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":0.9614999890327454,"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/hypergraph","display_name":"Hypergraph","score":0.7992310523986816},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7541722655296326},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6252834796905518},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.5489202737808228},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.49405673146247864},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43914595246315},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3499910533428192},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.3286041021347046},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.26954805850982666},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13813775777816772},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.08217886090278625}],"concepts":[{"id":"https://openalex.org/C2781221856","wikidata":"https://www.wikidata.org/wiki/Q840247","display_name":"Hypergraph","level":2,"score":0.7992310523986816},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7541722655296326},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6252834796905518},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.5489202737808228},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.49405673146247864},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43914595246315},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3499910533428192},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.3286041021347046},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.26954805850982666},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13813775777816772},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.08217886090278625}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s41019-023-00215-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41019-023-00215-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41019-023-00215-w.pdf","source":{"id":"https://openalex.org/S2486411021","display_name":"Data Science and Engineering","issn_l":"2364-1185","issn":["2364-1185","2364-1541"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Science and Engineering","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:037991f7430c47e3ab6ec0aee7631412","is_oa":true,"landing_page_url":"https://doaj.org/article/037991f7430c47e3ab6ec0aee7631412","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Data Science and Engineering, Vol 8, Iss 3, Pp 318-328 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s41019-023-00215-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41019-023-00215-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41019-023-00215-w.pdf","source":{"id":"https://openalex.org/S2486411021","display_name":"Data Science and Engineering","issn_l":"2364-1185","issn":["2364-1185","2364-1541"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Science and Engineering","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1280930457","display_name":null,"funder_award_id":"2022B1515120059","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G3159983421","display_name":null,"funder_award_id":"62276277","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G611205877","display_name":null,"funder_award_id":"2021YFF1201200","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program 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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4380089722.pdf","grobid_xml":"https://content.openalex.org/works/W4380089722.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W2054141820","https://openalex.org/W2100235918","https://openalex.org/W2219888463","https://openalex.org/W2605350416","https://openalex.org/W2809099395","https://openalex.org/W2892880750","https://openalex.org/W2907492528","https://openalex.org/W2945827670","https://openalex.org/W2966720510","https://openalex.org/W3044311607","https://openalex.org/W3045200674","https://openalex.org/W3046123837","https://openalex.org/W3048193857","https://openalex.org/W3080566854","https://openalex.org/W3094605801","https://openalex.org/W3100278010","https://openalex.org/W3100324210","https://openalex.org/W3114632476","https://openalex.org/W3153325943","https://openalex.org/W3208227120","https://openalex.org/W4220909642","https://openalex.org/W4224983022","https://openalex.org/W4284666445","https://openalex.org/W4297971002","https://openalex.org/W4306317227","https://openalex.org/W4308491173"],"related_works":["https://openalex.org/W2772628444","https://openalex.org/W1484355083","https://openalex.org/W4220714703","https://openalex.org/W2098758514","https://openalex.org/W2735929803","https://openalex.org/W3008845055","https://openalex.org/W2170391450","https://openalex.org/W4376854386","https://openalex.org/W2202724490","https://openalex.org/W2508671622"],"abstract_inverted_index":{"Abstract":[0],"Graph":[1],"collaborative":[2,38,55],"filtering":[3,39,56],"methods":[4,18],"have":[5],"shown":[6],"great":[7],"performance":[8],"improvements":[9,161],"compared":[10,162],"with":[11,163],"deep":[12],"neural":[13,71,125,145],"network-based":[14],"models.":[15],"However,":[16],"these":[17,29],"suffer":[19],"from":[20,81,87],"data":[21,24],"sparsity":[22],"and":[23,156,176],"noise":[25],"problems.":[26],"To":[27],"address":[28],"issues,":[30],"we":[31,93],"propose":[32],"a":[33,114,132],"new":[34],"contrastive":[35,52,60,90,174],"learning-based":[36,91],"graph":[37,54,63,70,79,83,101,110,124,144],"method":[40,48],"to":[41,74,97,103,117,136],"learn":[42],"more":[43],"robust":[44],"representations.":[45],"The":[46,127],"proposed":[47],"is":[49],"called":[50],"signal":[51],"enhanced":[53],"(SC-GCF),":[57],"which":[58,167],"conducts":[59],"learning":[61,121,129,175],"on":[62,77,152],"signals.":[64,111],"It":[65],"has":[66],"been":[67],"proved":[68],"that":[69,143],"networks":[72,146],"correspond":[73],"low-pass":[75],"filters":[76],"the":[78,82,88,98,106,109,119,138,157,164,169],"signals":[80,102],"convolution":[84],"perspective.":[85],"Different":[86],"previous":[89],"methods,":[92,166],"first":[94],"pay":[95],"attention":[96],"diversity":[99],"of":[100,108,123,171],"directly":[104],"optimize":[105],"informativeness":[107],"We":[112],"introduce":[113],"hypergraph":[115,128,134,177],"module":[116,130],"strengthen":[118],"representation":[120],"ability":[122],"networks.":[126],"utilizes":[131],"learnable":[133],"structure":[135],"model":[137],"latent":[139],"global":[140],"dependency":[141],"relations":[142],"cannot":[147],"depict.":[148],"Experiments":[149],"are":[150],"conducted":[151],"four":[153],"public":[154],"datasets,":[155],"results":[158],"show":[159],"significant":[160],"state-of-the-art":[165],"confirms":[168],"importance":[170],"considering":[172],"signal-level":[173],"learning.":[178]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2}],"updated_date":"2026-08-18T07:49:30.821534","created_date":"2025-10-10T00:00:00"}