{"id":"https://openalex.org/W4281563651","doi":"https://doi.org/10.24963/ijcai.2022/295","title":"TGNN: A Joint Semi-supervised Framework for Graph-level Classification","display_name":"TGNN: A Joint Semi-supervised Framework for Graph-level Classification","publication_year":2022,"publication_date":"2022-07-01","ids":{"openalex":"https://openalex.org/W4281563651","doi":"https://doi.org/10.24963/ijcai.2022/295"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2022/295","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/295","pdf_url":"https://www.ijcai.org/proceedings/2022/0295.pdf","source":{"id":"https://openalex.org/S4363608755","display_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","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":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://www.ijcai.org/proceedings/2022/0295.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018666299","display_name":"Wei Ju","orcid":"https://orcid.org/0000-0001-9657-951X"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Ju","raw_affiliation_strings":["School of Computer Science, Peking University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Peking University, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100426938","display_name":"Xiao Luo","orcid":"https://orcid.org/0000-0002-7987-3714"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Luo","raw_affiliation_strings":["School of Mathematical Sciences, Peking University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Peking University, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100739955","display_name":"Meng Qu","orcid":"https://orcid.org/0000-0002-3343-8952"},"institutions":[{"id":"https://openalex.org/I4210164802","display_name":"Mila - Quebec Artificial Intelligence Institute","ror":"https://ror.org/05c22rx21","country_code":"CA","type":"facility","lineage":["https://openalex.org/I4210164802"]},{"id":"https://openalex.org/I70931966","display_name":"Universit\u00e9 de Montr\u00e9al","ror":"https://ror.org/0161xgx34","country_code":"CA","type":"education","lineage":["https://openalex.org/I70931966"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Meng Qu","raw_affiliation_strings":["Mila - Qu\u00e9bec AI Institute, Universit\u00e9 de Montr\u00e9al, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mila - Qu\u00e9bec AI Institute, Universit\u00e9 de Montr\u00e9al, Canada","institution_ids":["https://openalex.org/I4210164802","https://openalex.org/I70931966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112838976","display_name":"Yifan Wang","orcid":"https://orcid.org/0009-0009-1032-3827"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifan Wang","raw_affiliation_strings":["School of Computer Science, Peking University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Peking University, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100348795","display_name":"Chong Chen","orcid":"https://orcid.org/0000-0003-0213-9957"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chong Chen","raw_affiliation_strings":["DAMO Academy, Alibaba Group, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DAMO Academy, Alibaba Group, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091013880","display_name":"Minghua Deng","orcid":"https://orcid.org/0000-0002-9143-1898"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minghua Deng","raw_affiliation_strings":["School of Mathematical Sciences, Peking University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Peking University, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024965898","display_name":"Xian\u2010Sheng Hua","orcid":"https://orcid.org/0000-0002-8232-5049"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xian-Sheng Hua","raw_affiliation_strings":["DAMO Academy, Alibaba Group, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DAMO Academy, Alibaba Group, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100642537","display_name":"Ming Zhang","orcid":"https://orcid.org/0000-0002-9809-3430"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Zhang","raw_affiliation_strings":["School of Computer Science, Peking University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Peking University, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2122","last_page":"2128"},"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9803000092506409,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9585000276565552,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7111976146697998},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.556721568107605},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.525517463684082},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5217398405075073},{"id":"https://openalex.org/keywords/graph-embedding","display_name":"Graph embedding","score":0.4996638298034668},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"Semi-supervised learning","score":0.4173769950866699},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40523838996887207},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37560248374938965},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3590555191040039}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7111976146697998},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.556721568107605},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.525517463684082},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5217398405075073},{"id":"https://openalex.org/C75564084","wikidata":"https://www.wikidata.org/wiki/Q5597085","display_name":"Graph embedding","level":3,"score":0.4996638298034668},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.4173769950866699},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40523838996887207},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37560248374938965},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3590555191040039}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2022/295","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/295","pdf_url":"https://www.ijcai.org/proceedings/2022/0295.pdf","source":{"id":"https://openalex.org/S4363608755","display_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","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":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2022/295","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/295","pdf_url":"https://www.ijcai.org/proceedings/2022/0295.pdf","source":{"id":"https://openalex.org/S4363608755","display_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","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":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G110542724","display_name":null,"funder_award_id":"No. 2018AAA0101902","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G3086387397","display_name":null,"funder_award_id":"62106008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5254191062","display_name":null,"funder_award_id":"62006004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7324266398","display_name":null,"funder_award_id":"2018AAA0101902","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program 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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4281563651.pdf","grobid_xml":"https://content.openalex.org/works/W4281563651.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W1821462560","https://openalex.org/W1835509607","https://openalex.org/W2129107602","https://openalex.org/W2142498761","https://openalex.org/W2293363371","https://openalex.org/W2606780347","https://openalex.org/W2737925311","https://openalex.org/W2808803559","https://openalex.org/W2903800307","https://openalex.org/W2913015533","https://openalex.org/W2951659295","https://openalex.org/W2951970475","https://openalex.org/W2953070460","https://openalex.org/W2962711740","https://openalex.org/W2964015378","https://openalex.org/W2964159205","https://openalex.org/W3011358689","https://openalex.org/W3095602948","https://openalex.org/W3098465726","https://openalex.org/W3156642753","https://openalex.org/W3167553825","https://openalex.org/W4220742022","https://openalex.org/W4248680389","https://openalex.org/W4288275971","https://openalex.org/W4289533979","https://openalex.org/W4297733535"],"related_works":["https://openalex.org/W4311865232","https://openalex.org/W3166049060","https://openalex.org/W4284678096","https://openalex.org/W3149439221","https://openalex.org/W4287763734","https://openalex.org/W3035116611","https://openalex.org/W2904380457","https://openalex.org/W4387800327","https://openalex.org/W58770712","https://openalex.org/W3211302945"],"abstract_inverted_index":{"This":[0],"paper":[1],"studies":[2],"semi-supervised":[3,74],"graph":[4,25,41,84,99,117],"classification,":[5,33],"a":[6,10,72,93,98],"crucial":[7],"task":[8],"with":[9,145],"wide":[11],"range":[12],"of":[13,63,114,159],"applications":[14],"in":[15,122,136],"social":[16],"network":[17],"analysis":[18],"and":[19,97,126,162,173],"bioinformatics.":[20],"Recent":[21],"works":[22],"typically":[23],"adopt":[24],"neural":[26],"networks":[27],"to":[28,35,58,118,153],"learn":[29],"graph-level":[30],"representations":[31],"for":[32,107],"failing":[34],"explicitly":[36],"leverage":[37],"features":[38],"derived":[39],"from":[40,55,87],"topology":[42,61],"(e.g.,":[43],"paths).":[44],"Moreover,":[45],"when":[46],"labeled":[47,120,161],"data":[48],"is":[49],"scarce,":[50],"these":[51],"methods":[52],"are":[53],"far":[54],"satisfactory":[56],"due":[57],"their":[59],"insufficient":[60],"exploration":[62],"unlabeled":[64,105,116,163],"data.":[65,164],"We":[66,165],"address":[67],"the":[68,112,123,156],"challenge":[69],"by":[70,148],"proposing":[71],"novel":[73],"framework":[75],"called":[76],"Twin":[77],"Graph":[78],"Neural":[79],"Network":[80],"(TGNN).":[81],"To":[82,102],"explore":[83,155],"structural":[85],"information":[86,158],"complementary":[88],"views,":[89],"our":[90,127,167],"TGNN":[91,168],"has":[92],"message":[94],"passing":[95],"module":[96],"kernel":[100],"module.":[101],"fully":[103,154],"utilize":[104],"data,":[106],"each":[108,115,146],"module,":[109],"we":[110],"calculate":[111],"similarity":[113,134,151],"other":[119,147],"graphs":[121],"memory":[124],"bank":[125],"consistency":[128,131],"loss":[129],"encourages":[130],"between":[132],"two":[133,141],"distributions":[135],"different":[137],"embedding":[138],"spaces.":[139],"The":[140],"twin":[142],"modules":[143],"collaborate":[144],"exchanging":[149],"instance":[150],"knowledge":[152],"structure":[157],"both":[160],"evaluate":[166],"on":[169],"various":[170],"public":[171],"datasets":[172],"show":[174],"that":[175],"it":[176],"achieves":[177],"strong":[178],"performance.":[179]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":20},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}