{"id":"https://openalex.org/W3168975006","doi":"https://doi.org/10.1109/icme51207.2021.9428283","title":"MGARL: Multiple Graph Adversarial Regularized Learning","display_name":"MGARL: Multiple Graph Adversarial Regularized Learning","publication_year":2021,"publication_date":"2021-06-09","ids":{"openalex":"https://openalex.org/W3168975006","doi":"https://doi.org/10.1109/icme51207.2021.9428283","mag":"3168975006"},"language":"en","primary_location":{"id":"doi:10.1109/icme51207.2021.9428283","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme51207.2021.9428283","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Multimedia and Expo (ICME)","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/A5107520061","display_name":"Ziyan Zhang","orcid":"https://orcid.org/0000-0001-9429-1635"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ziyan Zhang","raw_affiliation_strings":["School of Computer Science and Technology of Anhui University,Anhui Provincial Key Laboratory of Multimodal Cognitive Computation","Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, School of Computer Science and Technology of Anhui University"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology of Anhui University,Anhui Provincial Key Laboratory of Multimodal Cognitive Computation","institution_ids":["https://openalex.org/I143868143"]},{"raw_affiliation_string":"Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, School of Computer Science and Technology of Anhui University","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053609164","display_name":"Bo Jiang","orcid":"https://orcid.org/0000-0002-6238-1596"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Jiang","raw_affiliation_strings":["School of Computer Science and Technology of Anhui University,Anhui Provincial Key Laboratory of Multimodal Cognitive Computation","Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, School of Computer Science and Technology of Anhui University"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology of Anhui University,Anhui Provincial Key Laboratory of Multimodal Cognitive Computation","institution_ids":["https://openalex.org/I143868143"]},{"raw_affiliation_string":"Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, School of Computer Science and Technology of Anhui University","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100372676","display_name":"Bin Luo","orcid":"https://orcid.org/0000-0001-5948-5055"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Luo","raw_affiliation_strings":["School of Computer Science and Technology of Anhui University,Anhui Provincial Key Laboratory of Multimodal Cognitive Computation","Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, School of Computer Science and Technology of Anhui University"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology of Anhui University,Anhui Provincial Key Laboratory of Multimodal Cognitive Computation","institution_ids":["https://openalex.org/I143868143"]},{"raw_affiliation_string":"Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, School of Computer Science and Technology of Anhui University","institution_ids":["https://openalex.org/I143868143"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5107520061"],"corresponding_institution_ids":["https://openalex.org/I143868143"],"apc_list":null,"apc_paid":null,"fwci":0.2719,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.61760575,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9984999895095825,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9984999895095825,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9972000122070312,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/adversarial-system","display_name":"Adversarial system","score":0.8538042306900024},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6837571263313293},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5116084218025208},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4604426622390747},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4477100074291229}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.8538042306900024},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6837571263313293},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5116084218025208},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4604426622390747},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4477100074291229}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme51207.2021.9428283","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme51207.2021.9428283","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Multimedia and Expo (ICME)","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":42,"referenced_works":["https://openalex.org/W297461772","https://openalex.org/W1522301498","https://openalex.org/W2134529554","https://openalex.org/W2465015709","https://openalex.org/W2579597427","https://openalex.org/W2604314403","https://openalex.org/W2604723872","https://openalex.org/W2606202972","https://openalex.org/W2741943936","https://openalex.org/W2808260522","https://openalex.org/W2911286998","https://openalex.org/W2962904108","https://openalex.org/W2963169753","https://openalex.org/W2964015378","https://openalex.org/W2964113829","https://openalex.org/W2965115497","https://openalex.org/W2966840649","https://openalex.org/W2966848223","https://openalex.org/W2970066309","https://openalex.org/W2972209102","https://openalex.org/W2998662521","https://openalex.org/W3011667710","https://openalex.org/W3082034060","https://openalex.org/W3120740533","https://openalex.org/W4289389616","https://openalex.org/W4294558607","https://openalex.org/W4297733535","https://openalex.org/W4320013936","https://openalex.org/W6610472804","https://openalex.org/W6631190155","https://openalex.org/W6685350579","https://openalex.org/W6719270105","https://openalex.org/W6726873649","https://openalex.org/W6731811539","https://openalex.org/W6735632219","https://openalex.org/W6735994599","https://openalex.org/W6738964360","https://openalex.org/W6746002097","https://openalex.org/W6746327351","https://openalex.org/W6755863455","https://openalex.org/W6757078134","https://openalex.org/W6767098714"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W4246396837","https://openalex.org/W3126451824","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4297672492","https://openalex.org/W4310988119"],"abstract_inverted_index":{"Graph":[0,60],"Convolutional":[1],"Networks":[2],"(GCNs)":[3],"have":[4],"been":[5],"commonly":[6],"studied":[7],"for":[8,66,81,104],"graph":[9,27],"learning":[10,92,117],"tasks,":[11],"such":[12],"as":[13],"semi-supervised":[14,116],"learning,":[15],"clustering":[16],"etc.":[17],"However,":[18],"many":[19],"existing":[20],"GCNs":[21],"are":[22],"generally":[23],"conducted":[24],"on":[25,113,121],"single":[26],"data":[28,38,68],"and":[29,70,127],"thus":[30],"can":[31,95],"not":[32],"be":[33],"applied":[34],"directly":[35],"to":[36,74],"multi-graph":[37,67],"that":[39],"consists":[40],"of":[41,44,100,129],"various":[42],"types":[43],"edges":[45],"between":[46],"nodes.":[47],"To":[48],"address":[49],"this":[50,53],"issue,":[51],"in":[52],"paper,":[54],"we":[55],"propose":[56],"a":[57,86],"novel":[58,87],"multiple":[59,82,101],"Adversarial":[61],"Regularized":[62],"Learning":[63],"(mGARL)":[64],"framework":[65],"representation":[69,80],"learning.":[71],"mGARL":[72,112,132],"aims":[73],"learn":[75],"an":[76],"optimal":[77],"structure":[78],"invariant/consistent":[79],"graphs":[83,102],"by":[84],"employing":[85],"Encoder-Decoder":[88],"architecture":[89],"with":[90],"adversarial":[91],"regularization.":[93],"It":[94],"incorporate":[96],"the":[97,105,110,114,125,130],"structural":[98],"information":[99],"simultaneously":[103],"node\u2019s":[106],"representation.":[107],"We":[108],"apply":[109],"proposed":[111,131],"multi-view":[115],"tasks.":[118],"Experimental":[119],"results":[120],"several":[122],"datasets":[123],"demonstrate":[124],"effectiveness":[126],"benefits":[128],"model.":[133]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
