{"id":"https://openalex.org/W4225287123","doi":"https://doi.org/10.1109/icassp43922.2022.9746085","title":"Graph Fine-Grained Contrastive Representation Learning","display_name":"Graph Fine-Grained Contrastive Representation Learning","publication_year":2022,"publication_date":"2022-04-27","ids":{"openalex":"https://openalex.org/W4225287123","doi":"https://doi.org/10.1109/icassp43922.2022.9746085"},"language":"en","primary_location":{"id":"doi:10.1109/icassp43922.2022.9746085","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp43922.2022.9746085","pdf_url":null,"source":{"id":"https://openalex.org/S4363607702","display_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"article","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/A5101910617","display_name":"Hui Tang","orcid":"https://orcid.org/0000-0003-4126-9770"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Tang","raw_affiliation_strings":["Renmin University of China,School of Information","School of Information, Renmin University of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Renmin University of China,School of Information","institution_ids":["https://openalex.org/I78988378"]},{"raw_affiliation_string":"School of Information, Renmin University of China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020649203","display_name":"Xun Liang","orcid":"https://orcid.org/0000-0002-3431-5954"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xun Liang","raw_affiliation_strings":["Renmin University of China,School of Information","School of Information, Renmin University of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Renmin University of China,School of Information","institution_ids":["https://openalex.org/I78988378"]},{"raw_affiliation_string":"School of Information, Renmin University of China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005891143","display_name":"Yuhui Guo","orcid":"https://orcid.org/0000-0002-4833-7003"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhui Guo","raw_affiliation_strings":["Renmin University of China,School of Information","School of Information, Renmin University of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Renmin University of China,School of Information","institution_ids":["https://openalex.org/I78988378"]},{"raw_affiliation_string":"School of Information, Renmin University of China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068664003","display_name":"Xiangping Zheng","orcid":"https://orcid.org/0000-0001-8653-6225"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangping Zheng","raw_affiliation_strings":["Renmin University of China,School of Information","School of Information, Renmin University of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Renmin University of China,School of Information","institution_ids":["https://openalex.org/I78988378"]},{"raw_affiliation_string":"School of Information, Renmin University of China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101978182","display_name":"Bo Wu","orcid":"https://orcid.org/0000-0001-7266-084X"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Wu","raw_affiliation_strings":["Renmin University of China,School of Information","School of Information, Renmin University of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Renmin University of China,School of Information","institution_ids":["https://openalex.org/I78988378"]},{"raw_affiliation_string":"School of Information, Renmin University of China","institution_ids":["https://openalex.org/I78988378"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3114,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.48263981,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"33","issue":null,"first_page":"3478","last_page":"3482"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9301999807357788,"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/T11719","display_name":"Data Quality and Management","score":0.9200000166893005,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.8037872314453125},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7335560321807861},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6476798057556152},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5399307012557983},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37385061383247375}],"concepts":[{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.8037872314453125},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7335560321807861},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6476798057556152},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5399307012557983},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37385061383247375}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp43922.2022.9746085","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp43922.2022.9746085","pdf_url":null,"source":{"id":"https://openalex.org/S4363607702","display_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W2788919350","https://openalex.org/W2887997457","https://openalex.org/W2939208918","https://openalex.org/W2996268457","https://openalex.org/W2997686727","https://openalex.org/W2998008360","https://openalex.org/W3005552578","https://openalex.org/W3012816161","https://openalex.org/W3034693603","https://openalex.org/W3035035537","https://openalex.org/W3036446966","https://openalex.org/W3086430417","https://openalex.org/W3094275584","https://openalex.org/W3095602948","https://openalex.org/W3095746859","https://openalex.org/W3099152386","https://openalex.org/W3126928293","https://openalex.org/W3130828726","https://openalex.org/W3153673236","https://openalex.org/W3154503084","https://openalex.org/W3154679372","https://openalex.org/W4288275971","https://openalex.org/W6754278344","https://openalex.org/W6761665040","https://openalex.org/W6766156693","https://openalex.org/W6771932116","https://openalex.org/W6772452955","https://openalex.org/W6779518175","https://openalex.org/W6783625256","https://openalex.org/W6784629068","https://openalex.org/W6784694379"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2953234277","https://openalex.org/W2626256601","https://openalex.org/W147410782","https://openalex.org/W2900413183","https://openalex.org/W4390975304","https://openalex.org/W3022252430","https://openalex.org/W3015684221"],"abstract_inverted_index":{"Existing":[0],"graph":[1,21,42,68,75,84,117,127,159,168,174],"contrastive":[2,69],"methods":[3],"have":[4],"benefited":[5],"from":[6,141],"ingenious":[7],"data":[8],"augmantations":[9],"and":[10,23,47,53,80,96,101,108],"mutual":[11],"information":[12],"estimation":[13],"operations":[14],"that":[15,164],"are":[16],"carefully":[17],"designated":[18],"to":[19,49,92,137],"augment":[20],"views":[22,85,100],"maximize":[24],"the":[25,31,39,51,82,115,125,153,165],"agreement":[26],"between":[27],"representations":[28,113,143],"produced":[29],"at":[30],"aftermost":[32],"layer":[33,123,134,148],"of":[34,41,114,124,155],"two":[35,83],"view":[36],"networks.":[37],"However,":[38],"design":[40],"CL":[43,76,169],"schemes":[44],"is":[45],"coarse-grained":[46],"difficult":[48],"capture":[50,93],"universal":[52],"intrinsic":[54],"properties":[55],"across":[56,99,102],"intermediate":[57],"layers.":[58,103],"To":[59,104],"address":[60],"this":[61],"problem,":[62],"we":[63,130],"propose":[64,131],"a":[65,132,146],"novel":[66],"fine-grained":[67,167],"learning":[70],"model":[71,157],"(FGCL),":[72],"which":[73],"decomposes":[74],"into":[77,86],"global-to-local":[78],"levels":[79],"disentangles":[81],"hierarchical":[87,112],"graphs":[88],"by":[89],"pooling":[90,122],"operation":[91],"both":[94],"global":[95],"local":[97],"dependencies":[98],"prevent":[105],"layers":[106],"mismatch":[107],"automatically":[109],"assign":[110],"proper":[111],"augmented":[116],"(Key":[118],"view)":[119],"for":[120,173],"each":[121],"original":[126],"(Query":[128],"view),":[129],"sematic-aware":[133],"allocation":[135],"strategy":[136],"integrate":[138],"positive":[139],"guidance":[140],"diverse":[142],"rather":[144],"than":[145],"fixed":[147],"manually.":[149],"Experimental":[150],"results":[151],"demonstrate":[152],"advantages":[154],"our":[156],"on":[158],"classification":[160],"task.":[161],"This":[162],"suggests":[163],"proposed":[166],"presents":[170],"great":[171],"potential":[172],"representation":[175],"learning.":[176]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}