{"id":"https://openalex.org/W4385768206","doi":"https://doi.org/10.24963/ijcai.2023/509","title":"G2Pxy: Generative Open-Set Node Classification on Graphs with Proxy Unknowns","display_name":"G2Pxy: Generative Open-Set Node Classification on Graphs with Proxy Unknowns","publication_year":2023,"publication_date":"2023-08-01","ids":{"openalex":"https://openalex.org/W4385768206","doi":"https://doi.org/10.24963/ijcai.2023/509"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2023/509","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2023/509","pdf_url":"https://www.ijcai.org/proceedings/2023/0509.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2023/0509.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100418224","display_name":"Qin Zhang","orcid":"https://orcid.org/0000-0002-6851-3115"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]},{"id":"https://openalex.org/I4210099586","display_name":"Shenzhen Research Institute of Big Data","ror":"https://ror.org/00z1gwf89","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099586"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qin Zhang","raw_affiliation_strings":["Shenzhen University","Big Data Institute, College of Computer Science and Software Engineering, Shenzhen University, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen University","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"Big Data Institute, College of Computer Science and Software Engineering, Shenzhen University, China","institution_ids":["https://openalex.org/I4210099586","https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024256567","display_name":"Zelin Shi","orcid":"https://orcid.org/0000-0001-7059-6477"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]},{"id":"https://openalex.org/I4210099586","display_name":"Shenzhen Research Institute of Big Data","ror":"https://ror.org/00z1gwf89","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099586"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zelin Shi","raw_affiliation_strings":["ShenZhen University","Big Data Institute, College of Computer Science and Software Engineering, Shenzhen University, China"],"affiliations":[{"raw_affiliation_string":"ShenZhen University","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"Big Data Institute, College of Computer Science and Software Engineering, Shenzhen University, China","institution_ids":["https://openalex.org/I4210099586","https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100403831","display_name":"Xiaolin Zhang","orcid":"https://orcid.org/0000-0003-0403-1560"},"institutions":[{"id":"https://openalex.org/I4210128910","display_name":"Group Sense (China)","ror":"https://ror.org/036wd5777","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210128910"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolin Zhang","raw_affiliation_strings":["Sensetime"],"affiliations":[{"raw_affiliation_string":"Sensetime","institution_ids":["https://openalex.org/I4210128910"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100369453","display_name":"Xiaojun Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]},{"id":"https://openalex.org/I4210099586","display_name":"Shenzhen Research Institute of Big Data","ror":"https://ror.org/00z1gwf89","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099586"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojun Chen","raw_affiliation_strings":["Shenzhen University","Big Data Institute, College of Computer Science and Software Engineering, Shenzhen University, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen University","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"Big Data Institute, College of Computer Science and Software Engineering, Shenzhen University, China","institution_ids":["https://openalex.org/I4210099586","https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038682039","display_name":"Philippe Fournier\u2010Viger","orcid":"https://orcid.org/0000-0002-7680-9899"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]},{"id":"https://openalex.org/I4210099586","display_name":"Shenzhen Research Institute of Big Data","ror":"https://ror.org/00z1gwf89","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099586"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Philippe Fournier-Viger","raw_affiliation_strings":["Shenzhen University","Big Data Institute, College of Computer Science and Software Engineering, Shenzhen University, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen University","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"Big Data Institute, College of Computer Science and Software Engineering, Shenzhen University, China","institution_ids":["https://openalex.org/I4210099586","https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008056593","display_name":"Shirui Pan","orcid":"https://orcid.org/0000-0003-0794-527X"},"institutions":[{"id":"https://openalex.org/I11701301","display_name":"Griffith University","ror":"https://ror.org/02sc3r913","country_code":"AU","type":"education","lineage":["https://openalex.org/I11701301"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Shirui Pan","raw_affiliation_strings":["Griffith University","School of Information and Communication Technology, Griffith University, Queensland, Australia"],"affiliations":[{"raw_affiliation_string":"Griffith University","institution_ids":["https://openalex.org/I11701301"]},{"raw_affiliation_string":"School of Information and Communication Technology, Griffith University, Queensland, Australia","institution_ids":["https://openalex.org/I11701301"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100418224"],"corresponding_institution_ids":["https://openalex.org/I180726961","https://openalex.org/I4210099586"],"apc_list":null,"apc_paid":null,"fwci":1.0316,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.81189093,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"4576","last_page":"4583"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9922999739646912,"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/T12676","display_name":"Machine Learning and ELM","score":0.9861999750137329,"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":0.73482346534729},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6340701580047607},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6047775745391846},{"id":"https://openalex.org/keywords/open-set","display_name":"Open set","score":0.5916123986244202},{"id":"https://openalex.org/keywords/linear-classifier","display_name":"Linear classifier","score":0.5283984541893005},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5277358293533325},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.522416353225708},{"id":"https://openalex.org/keywords/cross-entropy","display_name":"Cross entropy","score":0.494582861661911},{"id":"https://openalex.org/keywords/one-class-classification","display_name":"One-class classification","score":0.4806567430496216},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4677714705467224},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42826539278030396},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36334219574928284},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.24033275246620178},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16682156920433044}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.73482346534729},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6340701580047607},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6047775745391846},{"id":"https://openalex.org/C42357961","wikidata":"https://www.wikidata.org/wiki/Q213363","display_name":"Open set","level":2,"score":0.5916123986244202},{"id":"https://openalex.org/C139532973","wikidata":"https://www.wikidata.org/wiki/Q2679259","display_name":"Linear classifier","level":3,"score":0.5283984541893005},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5277358293533325},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.522416353225708},{"id":"https://openalex.org/C167981619","wikidata":"https://www.wikidata.org/wiki/Q1685498","display_name":"Cross entropy","level":3,"score":0.494582861661911},{"id":"https://openalex.org/C34872919","wikidata":"https://www.wikidata.org/wiki/Q7092302","display_name":"One-class classification","level":3,"score":0.4806567430496216},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4677714705467224},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42826539278030396},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36334219574928284},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.24033275246620178},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16682156920433044},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.24963/ijcai.2023/509","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2023/509","pdf_url":"https://www.ijcai.org/proceedings/2023/0509.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},{"id":"pmh:oai:research-repository.griffith.edu.au:10072/425862","is_oa":false,"landing_page_url":"http://hdl.handle.net/10072/425862","pdf_url":null,"source":{"id":"https://openalex.org/S4306402548","display_name":"Griffith Research Online (Griffith University, Queensland, Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I11701301","host_organization_name":"Griffith University","host_organization_lineage":["https://openalex.org/I11701301"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference output"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2023/509","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2023/509","pdf_url":"https://www.ijcai.org/proceedings/2023/0509.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1477544716","display_name":null,"funder_award_id":"Guangdong","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1888327543","display_name":null,"funder_award_id":"15001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2981938667","display_name":null,"funder_award_id":"Shenzhen","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3757194791","display_name":null,"funder_award_id":"JCYJ20","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4413561973","display_name":null,"funder_award_id":"2023A15150","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G4488680036","display_name":null,"funder_award_id":"2022A15","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4617895389","display_name":null,"funder_award_id":"300000","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4871260389","display_name":null,"funder_award_id":"2023A151","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G5616351183","display_name":null,"funder_award_id":"00000","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5881942141","display_name":null,"funder_award_id":"202103","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6106196308","display_name":null,"funder_award_id":"51501012","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6275353366","display_name":null,"funder_award_id":"2022A1515010129","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G6437360502","display_name":null,"funder_award_id":"2021032","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7012638997","display_name":null,"funder_award_id":"2023A","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G7040646940","display_name":null,"funder_award_id":"62206179","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"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320330400","display_name":"Shenzhen Research Foundation","ror":null}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4385768206.pdf"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W2119880843","https://openalex.org/W2626967530","https://openalex.org/W2895752198","https://openalex.org/W2950348158","https://openalex.org/W2962914604","https://openalex.org/W2963149653","https://openalex.org/W2963875483","https://openalex.org/W2963924212","https://openalex.org/W2963995504","https://openalex.org/W2964015378","https://openalex.org/W2997848713","https://openalex.org/W3035224069","https://openalex.org/W3113256917","https://openalex.org/W3129488702","https://openalex.org/W3130734453","https://openalex.org/W3173421061","https://openalex.org/W3177034761","https://openalex.org/W3189989129","https://openalex.org/W3191599629","https://openalex.org/W4221150126","https://openalex.org/W4221162047","https://openalex.org/W4294558607","https://openalex.org/W4297733535","https://openalex.org/W4300833946"],"related_works":["https://openalex.org/W2442806191","https://openalex.org/W3112445271","https://openalex.org/W2368894008","https://openalex.org/W2962785319","https://openalex.org/W2134510694","https://openalex.org/W2109566635","https://openalex.org/W1964081096","https://openalex.org/W2141335490","https://openalex.org/W3139983161","https://openalex.org/W2169139688"],"abstract_inverted_index":{"Node":[0],"classification":[1,59,79,111],"is":[2,61,128,206],"the":[3,7,89,154,160,182,223],"task":[4],"of":[5,9,37,88,91,136,156,184],"predicting":[6],"labels":[8,27],"unlabeled":[10],"nodes":[11,95],"in":[12,33],"a":[13,66,71,106,117,163],"graph.":[14],"State-of-the-art":[15],"methods":[16,60,75],"based":[17],"on":[18,40,210,222],"graph":[19,213],"neural":[20],"networks":[21],"achieve":[22],"excellent":[23],"performance":[24],"when":[25],"all":[26,87],"are":[28,36,147],"available":[29,129],"during":[30,130],"training.":[31],"But":[32],"real-life,":[34],"models":[35],"ten":[38],"applied":[39],"data":[41],"with":[42,84,98,176],"new":[43],"classes,":[44],"which":[45,115,205],"can":[46,166],"lead":[47],"to":[48,63,70,96,151],"massive":[49],"misclassification":[50],"and":[51,132,143,189,201,226],"thus":[52],"significantly":[53],"degrade":[54],"performance.":[55],"Hence,":[56],"developing":[57],"open-set":[58,77,99,109,171],"crucial":[62],"determine":[64],"if":[65],"given":[67],"sample":[68],"belongs":[69],"known":[72,202],"class.":[73],"Existing":[74],"for":[76,197],"node":[78,110],"generally":[80],"use":[81],"transductive":[82],"learning":[83,120],"part":[85],"or":[86],"features":[90],"real":[92],"unseen":[93],"class":[94,199,203],"help":[97],"classification.":[100],"In":[101],"this":[102],"paper,":[103],"we":[104],"propose":[105],"novel":[107,157],"generative":[108],"method,":[112],"i.e.,":[113],"G2Pxy,":[114],"follows":[116],"stricter":[118],"inductive":[119],"setting":[121],"where":[122],"no":[123],"information":[124],"about":[125],"unknown":[126,138,141,145,198],"classes":[127],"training":[131],"validation.":[133],"Two":[134],"kinds":[135],"proxy":[137,179],"nodes,":[139],"inter-class":[140],"proxies":[142,146],"external":[144],"generated":[148,161],"via":[149],"mixup":[150],"efficiently":[152],"anticipate":[153],"distribution":[155],"classes.":[158],"Using":[159],"proxies,":[162],"closed-set":[164],"classifier":[165],"be":[167],"transformed":[168],"into":[169],"an":[170,177],"one,":[172],"by":[173,208],"augmenting":[174],"it":[175],"extra":[178],"classifier.":[180],"Under":[181],"constraints":[183],"both":[185],"cross":[186],"entropy":[187,191],"loss":[188],"complement":[190],"loss,":[192],"G2Pxy":[193,216],"achieves":[194],"superior":[195],"effectiveness":[196],"detection":[200],"classification,":[204],"validated":[207],"experiments":[209],"bench":[211],"mark":[212],"datasets.":[214],"Moreover,":[215],"does":[217],"not":[218],"have":[219],"specific":[220],"requirement":[221],"GNN":[224],"architecture":[225],"shows":[227],"good":[228],"generalizations.":[229]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}