{"id":"https://openalex.org/W4385565641","doi":"https://doi.org/10.1145/3580305.3599503","title":"Similarity Preserving Adversarial Graph Contrastive Learning","display_name":"Similarity Preserving Adversarial Graph Contrastive Learning","publication_year":2023,"publication_date":"2023-08-04","ids":{"openalex":"https://openalex.org/W4385565641","doi":"https://doi.org/10.1145/3580305.3599503"},"language":"en","primary_location":{"id":"doi:10.1145/3580305.3599503","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3580305.3599503","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","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/A5038908928","display_name":"Yeonjun In","orcid":"https://orcid.org/0000-0003-0408-4259"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Yeonjun In","raw_affiliation_strings":["KAIST, Daejeon, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"KAIST, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005045761","display_name":"Kanghoon Yoon","orcid":"https://orcid.org/0000-0001-6947-2944"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kanghoon Yoon","raw_affiliation_strings":["KAIST, Daejeon, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"KAIST, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101629748","display_name":"Chanyoung Park","orcid":"https://orcid.org/0000-0002-5957-5816"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Chanyoung Park","raw_affiliation_strings":["KAIST, Daejeon, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"KAIST, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5038908928"],"corresponding_institution_ids":["https://openalex.org/I157485424"],"apc_list":null,"apc_paid":null,"fwci":2.4196,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.91009839,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"867","last_page":"878"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9994000196456909,"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":0.9994000196456909,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.8421921730041504},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7149630188941956},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5217562317848206},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.49642711877822876},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4815788269042969},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4391365647315979},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3248690962791443}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.8421921730041504},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7149630188941956},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5217562317848206},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.49642711877822876},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4815788269042969},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4391365647315979},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3248690962791443},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3580305.3599503","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3580305.3599503","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3373663135","display_name":null,"funder_award_id":"2022-0-00157","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"},{"id":"https://openalex.org/G4069530165","display_name":null,"funder_award_id":"2022-0-00077","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G4700831490","display_name":null,"funder_award_id":"2022-","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"},{"id":"https://openalex.org/G6072120315","display_name":null,"funder_award_id":"funded","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"}],"funders":[{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"},{"id":"https://openalex.org/F4320335489","display_name":"Institute for Information and Communications Technology Promotion","ror":"https://ror.org/01g0hqq23"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1888005072","https://openalex.org/W2187089797","https://openalex.org/W2803831897","https://openalex.org/W2913668833","https://openalex.org/W2962756421","https://openalex.org/W2964971928","https://openalex.org/W2994598354","https://openalex.org/W3033232773","https://openalex.org/W3036106327","https://openalex.org/W3039075121","https://openalex.org/W3081203761","https://openalex.org/W3090999459","https://openalex.org/W3095746859","https://openalex.org/W3098276446","https://openalex.org/W3099179075","https://openalex.org/W3100993589","https://openalex.org/W3104097132","https://openalex.org/W3104667978","https://openalex.org/W3111920969","https://openalex.org/W3114928288","https://openalex.org/W3154503084","https://openalex.org/W3166215705","https://openalex.org/W3210070012","https://openalex.org/W4221139060","https://openalex.org/W4283796586","https://openalex.org/W4293254877"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W4246396837","https://openalex.org/W2482350142","https://openalex.org/W3176240006","https://openalex.org/W3126451824","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4297672492","https://openalex.org/W4288019534","https://openalex.org/W4310988119"],"abstract_inverted_index":{"Recent":[0],"works":[1],"demonstrate":[2,154],"that":[3,43,97,131,155],"GNN":[4,25],"models":[5],"are":[6],"vulnerable":[7],"to":[8,13,39,78,112],"adversarial":[9,36,67,75,125,150,176],"attacks,":[10,71],"which":[11,55,82],"refer":[12],"imperceptible":[14],"perturbation":[15],"on":[16,46,161],"the":[17,47,52,61,79,84,91,106,114,133,144,149],"graph":[18,27,62,86,126,135],"structure":[19],"and":[20,148,165,179],"node":[21,115,145],"features.":[22],"Among":[23],"various":[24,170],"models,":[26],"contrastive":[28,127],"learning":[29,128],"(GCL)":[30],"based":[31],"methods":[32,73,102],"specifically":[33],"suffer":[34],"from":[35,51],"attacks":[37],"due":[38],"their":[40],"inherent":[41],"design":[42],"highly":[44],"depends":[45],"self-supervision":[48],"signals":[49],"derived":[50],"original":[53],"graph,":[54],"however":[56],"already":[57],"contains":[58],"noise":[59],"when":[60],"is":[63,184],"attacked.":[64],"To":[65],"achieve":[66,103],"robustness":[68,104],"against":[69],"such":[70],"existing":[72,98],"adopt":[74],"training":[76],"(AT)":[77],"GCL":[80,92,101],"framework,":[81],"considers":[83],"attacked":[85],"as":[87],"an":[88],"augmentation":[89],"under":[90],"framework.":[93],"However,":[94],"we":[95,121],"find":[96],"adversarially":[99],"trained":[100],"at":[105,186],"expense":[107],"of":[108,140],"not":[109],"being":[110],"able":[111],"preserve":[113],"feature":[116],"similarity.":[117],"In":[118],"this":[119],"paper,":[120],"propose":[122],"a":[123,158,173],"similarity-preserving":[124,146],"(SP-AGCL)":[129],"framework":[130],"contrasts":[132],"clean":[134],"with":[136,175],"two":[137],"auxiliary":[138],"views":[139],"different":[141],"properties":[142],"(i.e.,":[143],"view":[147],"view).":[151],"Extensive":[152],"experiments":[153],"SP-AGCL":[156],"achieves":[157],"competitive":[159],"performance":[160],"several":[162],"downstream":[163],"tasks,":[164],"shows":[166],"its":[167],"effectiveness":[168],"in":[169],"scenarios,":[171],"e.g.,":[172],"network":[174],"attacks,noisy":[177],"labels,":[178],"heterophilous":[180],"neighbors.":[181],"Our":[182],"code":[183],"available":[185],"https://github.com/yeonjun-in/torch-SP-AGCL.":[187]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}