{"id":"https://openalex.org/W4392903893","doi":"https://doi.org/10.1109/icassp48485.2024.10445929","title":"Noise-Disentangled Graph Contrastive Learning via Low-Rank and Sparse Subspace Decomposition","display_name":"Noise-Disentangled Graph Contrastive Learning via Low-Rank and Sparse Subspace Decomposition","publication_year":2024,"publication_date":"2024-03-18","ids":{"openalex":"https://openalex.org/W4392903893","doi":"https://doi.org/10.1109/icassp48485.2024.10445929"},"language":"en","primary_location":{"id":"doi:10.1109/icassp48485.2024.10445929","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10445929","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027061729","display_name":"Gehang Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gehang Zhang","raw_affiliation_strings":["Chinese Academy of Sciences,Institute of Information Engineering,Beijing,China","School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China","Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Institute of Information Engineering,Beijing,China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080665569","display_name":"Jiawei Sheng","orcid":"https://orcid.org/0000-0002-4865-982X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiawei Sheng","raw_affiliation_strings":["Chinese Academy of Sciences,Institute of Information Engineering,Beijing,China","Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Institute of Information Engineering,Beijing,China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115580426","display_name":"Shicheng Wang","orcid":"https://orcid.org/0000-0003-3819-9660"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shicheng Wang","raw_affiliation_strings":["Chinese Academy of Sciences,Institute of Information Engineering,Beijing,China","Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China","School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Institute of Information Engineering,Beijing,China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080686378","display_name":"Tingwen Liu","orcid":"https://orcid.org/0000-0002-0750-6923"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingwen Liu","raw_affiliation_strings":["Chinese Academy of Sciences,Institute of Information Engineering,Beijing,China","School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China","Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Institute of Information Engineering,Beijing,China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5880","last_page":"5884"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9997000098228455,"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":0.9997000098228455,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9652000069618225,"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/T10269","display_name":"Epigenetics and DNA Methylation","score":0.935699999332428,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.6803930997848511},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.6466225385665894},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6374315619468689},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.616002082824707},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5325170159339905},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5187445282936096},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.4687034785747528},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.4511517584323883},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.44995149970054626},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4379887580871582},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.42734047770500183},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3361976146697998},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.290813684463501},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.11499989032745361}],"concepts":[{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.6803930997848511},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.6466225385665894},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6374315619468689},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.616002082824707},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5325170159339905},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5187445282936096},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.4687034785747528},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.4511517584323883},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.44995149970054626},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4379887580871582},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.42734047770500183},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3361976146697998},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.290813684463501},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.11499989032745361},{"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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp48485.2024.10445929","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10445929","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5099999904632568,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G8151936980","display_name":null,"funder_award_id":"2021YFB3100600","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335892","display_name":"Youth Innovation Promotion Association","ror":null},{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W67413104","https://openalex.org/W1932742904","https://openalex.org/W2153959628","https://openalex.org/W2754084392","https://openalex.org/W2916106175","https://openalex.org/W2922517354","https://openalex.org/W3005680577","https://openalex.org/W3006604421","https://openalex.org/W3010186256","https://openalex.org/W3012816161","https://openalex.org/W3035629740","https://openalex.org/W3086452730","https://openalex.org/W3126928293","https://openalex.org/W3190214286","https://openalex.org/W4316039444","https://openalex.org/W4382239158","https://openalex.org/W6680434193","https://openalex.org/W6681016373","https://openalex.org/W6726873649","https://openalex.org/W6745537798","https://openalex.org/W6755573351","https://openalex.org/W6760001035","https://openalex.org/W6774314701","https://openalex.org/W6779518175","https://openalex.org/W6779667076","https://openalex.org/W6779940601","https://openalex.org/W6784694379","https://openalex.org/W6850689442"],"related_works":["https://openalex.org/W3100286349","https://openalex.org/W2896134808","https://openalex.org/W4289378085","https://openalex.org/W4294291164","https://openalex.org/W3172436493","https://openalex.org/W1887135636","https://openalex.org/W4287164812","https://openalex.org/W2386063599","https://openalex.org/W1975884855","https://openalex.org/W3213150849"],"abstract_inverted_index":{"Graph":[0],"contrastive":[1,43,60,75,135,161],"learning":[2,76],"aims":[3],"to":[4,63],"learn":[5],"a":[6,72],"representative":[7],"model":[8],"by":[9],"maximizing":[10],"the":[11,17,49,104,112,115,153,156],"agreement":[12],"between":[13],"different":[14],"views":[15],"of":[16,36,132,155],"same":[18],"graph.":[19],"Existing":[20],"studies":[21],"usually":[22],"allow":[23],"multifarious":[24],"noise":[25,121],"in":[26,103,114,122,134,159],"data":[27,123],"augmentation,":[28,124],"and":[29,33,82,94,100,106,125,129,149],"suffer":[30],"from":[31],"trivial":[32],"inconsistent":[34],"generation":[35],"graph":[37,59,74,160],"views.":[38],"Moreover,":[39],"they":[40],"mostly":[41],"impose":[42],"constraints":[44],"on":[45],"pairwise":[46],"representations,":[47],"limiting":[48],"structural":[50,98,127],"correlations":[51,99,128],"among":[52],"multiple":[53],"nodes.":[54],"Both":[55],"problems":[56],"may":[57],"hinder":[58],"learning,":[61],"leading":[62],"suboptimal":[64],"node":[65,90,146],"representations.":[66],"To":[67],"this":[68],"end,":[69],"we":[70],"propose":[71],"novel":[73],"framework,":[77],"namely":[78],"GCL-LS,":[79],"via":[80],"low-rank":[81,93,105],"sparse":[83,95,107],"subspace":[84,157],"decomposition.":[85],"In":[86],"particular,":[87],"it":[88,117],"decomposes":[89],"representations":[91,113],"into":[92],"components,":[96],"preserving":[97],"compressed":[101],"features":[102,131],"subspace,":[108],"respectively.":[109],"By":[110],"contrasting":[111],"subspaces,":[116],"naturally":[118],"disentangles":[119],"low-quality":[120],"captures":[126],"substantial":[130],"nodes":[133],"learning.":[136,162],"Experimental":[137],"results":[138],"show":[139],"that":[140],"our":[141],"method":[142],"significantly":[143],"improves":[144],"downstream":[145],"classification":[147],"accuracy,":[148],"further":[150],"analysis":[151],"demonstrates":[152],"effectiveness":[154],"decomposition":[158],"The":[163],"code":[164],"is":[165],"released":[166],"at":[167],"https://github.com/zhanggehang/GCL_LS.":[168]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}