{"id":"https://openalex.org/W4281558957","doi":"https://doi.org/10.24963/ijcai.2022/789","title":"Few-Shot Learning on Graphs","display_name":"Few-Shot Learning on Graphs","publication_year":2022,"publication_date":"2022-07-01","ids":{"openalex":"https://openalex.org/W4281558957","doi":"https://doi.org/10.24963/ijcai.2022/789"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2022/789","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/789","pdf_url":"https://www.ijcai.org/proceedings/2022/0789.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":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://www.ijcai.org/proceedings/2022/0789.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022275632","display_name":"Chuxu Zhang","orcid":"https://orcid.org/0000-0002-8349-7926"},"institutions":[{"id":"https://openalex.org/I6902469","display_name":"Brandeis University","ror":"https://ror.org/05abbep66","country_code":"US","type":"education","lineage":["https://openalex.org/I6902469"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Chuxu Zhang","raw_affiliation_strings":["Brandeis University","Brandeis University, Waltham, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Brandeis University","institution_ids":["https://openalex.org/I6902469"]},{"raw_affiliation_string":"Brandeis University, Waltham, MA, USA","institution_ids":["https://openalex.org/I6902469"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044455276","display_name":"Kaize Ding","orcid":"https://orcid.org/0000-0001-6684-6752"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kaize Ding","raw_affiliation_strings":["Arizona State University","Arizona State University, Tempe, Arizona, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Arizona State University","institution_ids":["https://openalex.org/I55732556"]},{"raw_affiliation_string":"Arizona State University, Tempe, Arizona, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029588473","display_name":"Jundong Li","orcid":"https://orcid.org/0000-0002-1878-817X"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jundong Li","raw_affiliation_strings":["University of Virginia","University of Virginia, Charlottesville, Virginia, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Virginia","institution_ids":["https://openalex.org/I51556381"]},{"raw_affiliation_string":"University of Virginia, Charlottesville, Virginia, USA","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000755750","display_name":"Xiangliang Zhang","orcid":"https://orcid.org/0000-0002-3574-5665"},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiangliang Zhang","raw_affiliation_strings":["University of Notre Dame","University of Notre Dame, Notre Dame, Indiana, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Notre Dame","institution_ids":["https://openalex.org/I107639228"]},{"raw_affiliation_string":"University of Notre Dame, Notre Dame, Indiana, USA","institution_ids":["https://openalex.org/I107639228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027601906","display_name":"Yanfang Ye","orcid":"https://orcid.org/0000-0002-6038-2173"},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yanfang Ye","raw_affiliation_strings":["University of Notre Dame","University of Notre Dame, Notre Dame, Indiana, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Notre Dame","institution_ids":["https://openalex.org/I107639228"]},{"raw_affiliation_string":"University of Notre Dame, Notre Dame, Indiana, USA","institution_ids":["https://openalex.org/I107639228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068157871","display_name":"Nitesh V. Chawla","orcid":"https://orcid.org/0000-0003-3932-5956"},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]},{"id":"https://openalex.org/I3132061591","display_name":"Notre Dame of Dadiangas University","ror":"https://ror.org/009yjbg58","country_code":"PH","type":"education","lineage":["https://openalex.org/I3132061591"]}],"countries":["PH","US"],"is_corresponding":false,"raw_author_name":"Nitesh V. Chawla","raw_affiliation_strings":["Notre Dame","University of Notre Dame, Notre Dame, Indiana, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Notre Dame","institution_ids":["https://openalex.org/I3132061591"]},{"raw_affiliation_string":"University of Notre Dame, Notre Dame, Indiana, USA","institution_ids":["https://openalex.org/I107639228"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100338946","display_name":"Huan Liu","orcid":"https://orcid.org/0000-0002-3264-7904"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Huan Liu","raw_affiliation_strings":["Arizona State University","Arizona State University, Tempe, Arizona, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Arizona State University","institution_ids":["https://openalex.org/I55732556"]},{"raw_affiliation_string":"Arizona State University, Tempe, Arizona, USA","institution_ids":["https://openalex.org/I55732556"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5022275632"],"corresponding_institution_ids":["https://openalex.org/I6902469"],"apc_list":null,"apc_paid":null,"fwci":2.5962,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.91449775,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"5662","last_page":"5669"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9848999977111816,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9621000289916992,"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":0.8109429478645325},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.6844183206558228},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.574255108833313},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.5370067358016968},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5296919941902161},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4957955777645111},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4207150936126709},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.40735021233558655},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.347167432308197}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8109429478645325},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.6844183206558228},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.574255108833313},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.5370067358016968},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5296919941902161},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4957955777645111},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4207150936126709},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.40735021233558655},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.347167432308197},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2022/789","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/789","pdf_url":"https://www.ijcai.org/proceedings/2022/0789.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.2022/789","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/789","pdf_url":"https://www.ijcai.org/proceedings/2022/0789.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":[{"id":"https://metadata.un.org/sdg/8","score":0.4399999976158142,"display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4281558957.pdf","grobid_xml":"https://content.openalex.org/works/W4281558957.grobid-xml"},"referenced_works_count":69,"referenced_works":["https://openalex.org/W2127426251","https://openalex.org/W2127795553","https://openalex.org/W2154851992","https://openalex.org/W2601322194","https://openalex.org/W2601450892","https://openalex.org/W2604763608","https://openalex.org/W2728059831","https://openalex.org/W2753160622","https://openalex.org/W2753921001","https://openalex.org/W2889234142","https://openalex.org/W2914721378","https://openalex.org/W2944378183","https://openalex.org/W2944854690","https://openalex.org/W2946533337","https://openalex.org/W2951659295","https://openalex.org/W2962711740","https://openalex.org/W2962849793","https://openalex.org/W2963341924","https://openalex.org/W2964015378","https://openalex.org/W2964105864","https://openalex.org/W2964316912","https://openalex.org/W2965857891","https://openalex.org/W2971142670","https://openalex.org/W2971167006","https://openalex.org/W2995645102","https://openalex.org/W2997198750","https://openalex.org/W2997262687","https://openalex.org/W2997738974","https://openalex.org/W3005680577","https://openalex.org/W3011667710","https://openalex.org/W3012747158","https://openalex.org/W3034801186","https://openalex.org/W3039200995","https://openalex.org/W3043239945","https://openalex.org/W3093957844","https://openalex.org/W3094500523","https://openalex.org/W3094624443","https://openalex.org/W3095602948","https://openalex.org/W3098465726","https://openalex.org/W3099378125","https://openalex.org/W3100606581","https://openalex.org/W3100807776","https://openalex.org/W3100848837","https://openalex.org/W3120402410","https://openalex.org/W3130274530","https://openalex.org/W3134904973","https://openalex.org/W3152507776","https://openalex.org/W3153722380","https://openalex.org/W3154562105","https://openalex.org/W3155775551","https://openalex.org/W3163842339","https://openalex.org/W3169943726","https://openalex.org/W3173421061","https://openalex.org/W3190141738","https://openalex.org/W3197167541","https://openalex.org/W3198104617","https://openalex.org/W3209595292","https://openalex.org/W3212824603","https://openalex.org/W3213275565","https://openalex.org/W4225657277","https://openalex.org/W4226057794","https://openalex.org/W4283821931","https://openalex.org/W4287634871","https://openalex.org/W4287863694","https://openalex.org/W4287991470","https://openalex.org/W4297571622","https://openalex.org/W4297733535","https://openalex.org/W4300514939","https://openalex.org/W4310002146"],"related_works":["https://openalex.org/W2931688134","https://openalex.org/W2377919138","https://openalex.org/W2165912799","https://openalex.org/W2378857091","https://openalex.org/W2999756192","https://openalex.org/W103652678","https://openalex.org/W2166690231","https://openalex.org/W2950637221","https://openalex.org/W4386136067","https://openalex.org/W4286858940"],"abstract_inverted_index":{"Graph":[0],"representation":[1,20,56],"learning":[2,21,46,57,60],"has":[3,62],"attracted":[4],"tremendous":[5],"attention":[6],"due":[7],"to":[8,65,157],"its":[9],"remarkable":[10],"performance":[11,68],"in":[12,70,94,120],"many":[13,80],"real-world":[14],"applications.":[15,103],"However,":[16],"prevailing":[17],"supervised":[18],"graph":[19,55,125],"models":[22],"for":[23],"specific":[24],"tasks":[25,127],"often":[26],"suffer":[27],"from":[28],"label":[29],"sparsity":[30],"issue":[31],"as":[32],"data":[33,75],"labeling":[34],"is":[35],"always":[36],"time":[37],"and":[38,58,102,110,114,135],"resource":[39],"consuming.":[40],"In":[41,86],"light":[42],"of":[43,54,72,97,100,118,122,147,151],"this,":[44],"few-shot":[45,59],"on":[47,83,142,161],"graphs":[48],"(FSLG),":[49],"which":[50],"combines":[51],"the":[52,67,95,158,164],"strengths":[53],"together,":[61],"been":[63,79],"proposed":[64],"tackle":[66],"degradation":[69],"face":[71],"limited":[73],"annotated":[74],"challenge.":[76],"There":[77],"have":[78,154],"studies":[81],"working":[82],"FSLG":[84,108,119,162],"recently.":[85],"this":[87,152],"paper,":[88],"we":[89,105,138],"comprehensively":[90],"survey":[91,153],"these":[92],"work":[93,117],"form":[96],"a":[98],"series":[99],"methods":[101],"Specifically,":[104],"first":[106],"introduce":[107],"challenges":[109],"bases,":[111],"then":[112],"categorize":[113],"summarize":[115],"existing":[116],"terms":[121],"three":[123],"major":[124],"mining":[126],"at":[128],"different":[129],"granularity":[130],"levels,":[131],"i.e.,":[132],"node,":[133],"edge,":[134],"graph.":[136],"Finally,":[137],"share":[139],"our":[140],"thoughts":[141],"some":[143],"future":[144],"research":[145],"directions":[146],"FSLG.":[148],"The":[149],"authors":[150],"contributed":[155],"significantly":[156],"AI":[159],"literature":[160],"over":[163],"last":[165],"few":[166],"years.":[167]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}