{"id":"https://openalex.org/W4413556575","doi":"https://doi.org/10.1109/tifs.2025.3602243","title":"Robust Graph Contrastive Learning With Information Restoration","display_name":"Robust Graph Contrastive Learning With Information Restoration","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4413556575","doi":"https://doi.org/10.1109/tifs.2025.3602243"},"language":"en","primary_location":{"id":"doi:10.1109/tifs.2025.3602243","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2025.3602243","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Forensics and Security","raw_type":"journal-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/A5077839265","display_name":"Yulin Zhu","orcid":"https://orcid.org/0000-0003-1231-1386"},"institutions":[{"id":"https://openalex.org/I178968375","display_name":"Hong Kong Chu Hai College","ror":"https://ror.org/021a2zz52","country_code":"HK","type":"education","lineage":["https://openalex.org/I178968375"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yulin Zhu","raw_affiliation_strings":["Department of Computer Science, Hong Kong Chu Hai College, Tuen Mun, Hong Kong","Department of Computer Science, Hong Kong Chu Hai College, China"],"raw_orcid":"https://orcid.org/0000-0003-1231-1386","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Hong Kong Chu Hai College, Tuen Mun, Hong Kong","institution_ids":["https://openalex.org/I178968375"]},{"raw_affiliation_string":"Department of Computer Science, Hong Kong Chu Hai College, China","institution_ids":["https://openalex.org/I178968375"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089108988","display_name":"Xing Ai","orcid":"https://orcid.org/0000-0001-7691-9943"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Xing Ai","raw_affiliation_strings":["Department of Computing, The Hong Kong Polytechnic University, Hung Hom, Hong Kong","Department of Computing, The Hong Kong Polytechnic University, China"],"raw_orcid":"https://orcid.org/0000-0001-7691-9943","affiliations":[{"raw_affiliation_string":"Department of Computing, The Hong Kong Polytechnic University, Hung Hom, Hong Kong","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"Department of Computing, The Hong Kong Polytechnic University, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038669899","display_name":"Yevgeniy Vorobeychik","orcid":"https://orcid.org/0000-0003-2471-5345"},"institutions":[{"id":"https://openalex.org/I204465549","display_name":"Washington University in St. Louis","ror":"https://ror.org/01yc7t268","country_code":"US","type":"education","lineage":["https://openalex.org/I204465549"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yevgeniy Vorobeychik","raw_affiliation_strings":["Department of Computer Science and Engineering, McKelvey School of Engineering, Washington University in St. Louis, St. Louis, MO, USA","Department of Computer Science and Engineering, Washington University in St. Louis, USA"],"raw_orcid":"https://orcid.org/0000-0003-2471-5345","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, McKelvey School of Engineering, Washington University in St. Louis, St. Louis, MO, USA","institution_ids":["https://openalex.org/I204465549"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Washington University in St. Louis, USA","institution_ids":["https://openalex.org/I204465549"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011107678","display_name":"Kai Zhou","orcid":"https://orcid.org/0000-0003-1383-2765"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Kai Zhou","raw_affiliation_strings":["Department of Computing, The Hong Kong Polytechnic University, Hung Hom, Hong Kong","Department of Computing, The Hong Kong Polytechnic University, China"],"raw_orcid":"https://orcid.org/0000-0003-1383-2765","affiliations":[{"raw_affiliation_string":"Department of Computing, The Hong Kong Polytechnic University, Hung Hom, Hong Kong","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"Department of Computing, The Hong Kong Polytechnic University, China","institution_ids":["https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":1.1245,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.84422596,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"20","issue":null,"first_page":"9151","last_page":"9163"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9782999753952026,"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/T12676","display_name":"Machine Learning and ELM","score":0.9782999753952026,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9740999937057495,"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":0.9587000012397766,"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/computer-science","display_name":"Computer science","score":0.8288252353668213},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5210403800010681},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.45269376039505005},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.39349061250686646},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.28216761350631714}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8288252353668213},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5210403800010681},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.45269376039505005},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.39349061250686646},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.28216761350631714}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tifs.2025.3602243","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2025.3602243","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Forensics and Security","raw_type":"journal-article"},{"id":"pmh:oai:ira.lib.polyu.edu.hk:10397/115745","is_oa":false,"landing_page_url":"http://hdl.handle.net/10397/115745","pdf_url":null,"source":{"id":"https://openalex.org/S4306400205","display_name":"PolyU Institutional Research Archive (Hong Kong Polytechnic University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I14243506","host_organization_name":"Hong Kong Polytechnic University","host_organization_lineage":["https://openalex.org/I14243506"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Journal/Magazine Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3058216973","display_name":null,"funder_award_id":"62106210","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3064853585","display_name":null,"funder_award_id":"U21B2019","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1501538962","https://openalex.org/W1990063233","https://openalex.org/W2069812095","https://openalex.org/W2121947440","https://openalex.org/W2130354913","https://openalex.org/W2141088152","https://openalex.org/W2154851992","https://openalex.org/W2803831897","https://openalex.org/W2949208225","https://openalex.org/W2962756421","https://openalex.org/W2964015378","https://openalex.org/W2964583308","https://openalex.org/W2964971928","https://openalex.org/W3081203761","https://openalex.org/W3095746859","https://openalex.org/W3111920969","https://openalex.org/W3114928288","https://openalex.org/W3127612723","https://openalex.org/W3163416963","https://openalex.org/W3177226690","https://openalex.org/W3199755688","https://openalex.org/W3212677680","https://openalex.org/W4221139060","https://openalex.org/W4224313798","https://openalex.org/W4250589301","https://openalex.org/W4287119647","https://openalex.org/W4385565641","https://openalex.org/W4387623811","https://openalex.org/W4388208112","https://openalex.org/W4391769971","https://openalex.org/W4392902950","https://openalex.org/W4398188195","https://openalex.org/W4400083323","https://openalex.org/W4400910438","https://openalex.org/W4402834468","https://openalex.org/W4405863024"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W3204019825"],"abstract_inverted_index":{"The":[0],"graph":[1,11,17,26,71,88,106,134],"contrastive":[2,135],"learning":[3,136],"(GCL)":[4],"framework":[5,137],"has":[6,44],"gained":[7],"remarkable":[8],"achievements":[9],"in":[10,37,81],"representation":[12],"learning.":[13],"However,":[14],"similar":[15],"to":[16,25,83,92,145,169,197],"neural":[18],"networks":[19],"(GNNs),":[20],"GCL":[21,33,60,76],"models":[22],"are":[23],"susceptible":[24],"structural":[27,72,89,159],"attacks.":[28,41,160],"As":[29],"an":[30,111],"unsupervised":[31,166],"method,":[32],"faces":[34],"greater":[35],"challenges":[36],"defending":[38],"against":[39,74],"adversarial":[40],"Furthermore,":[42],"there":[43],"been":[45],"limited":[46],"research":[47],"on":[48,61],"enhancing":[49],"the":[50,57,62,67,75,84,101,105,116,119,147,152,158,171,175,182,188],"robustness":[51],"of":[52,59,70,118,192],"GCL.":[53,124],"To":[54],"thoroughly":[55],"explore":[56],"failure":[58],"poisoned":[63],"graphs,":[64],"we":[65,130,162],"investigate":[66],"detrimental":[68],"effects":[69],"attacks":[73,90,98],"framework.":[77],"We":[78],"discover":[79],"that,":[80],"addition":[82],"conventional":[85],"observation":[86],"that":[87,143],"tend":[91],"connect":[93],"dissimilar":[94],"node":[95,121],"pairs,":[96],"these":[97],"also":[99],"diminish":[100],"mutual":[102,154],"information":[103,155],"between":[104],"and":[107,190],"its":[108],"representations":[109],"from":[110],"information-theoretical":[112],"perspective,":[113],"which":[114,178],"is":[115],"cornerstone":[117],"high-quality":[120],"embeddings":[122],"for":[123],"Motivated":[125],"by":[126,150,157],"this":[127],"theoretical":[128],"insight,":[129],"propose":[131],"a":[132,139,164],"robust":[133],"with":[138,181],"learnable":[140],"sanitation":[141],"view":[142],"endeavors":[144],"sanitize":[146],"augmented":[148],"graphs":[149],"restoring":[151],"diminished":[153],"caused":[156],"Additionally,":[161],"design":[163],"fully":[165],"tuning":[167],"strategy":[168],"tune":[170],"hyperparameters":[172],"without":[173],"accessing":[174],"label":[176],"information,":[177],"strictly":[179],"coincides":[180],"defender\u2019s":[183],"knowledge.":[184],"Extensive":[185],"experiments":[186],"demonstrate":[187],"effectiveness":[189],"efficiency":[191],"our":[193],"proposed":[194],"method":[195],"compared":[196],"competitive":[198],"baselines.":[199]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}