{"id":"https://openalex.org/W4410636856","doi":"https://doi.org/10.1145/3701716.3715854","title":"Few-Shot Learning on Graphs: From Meta-Learning to LLM-empowered Pre-Training and Beyond","display_name":"Few-Shot Learning on Graphs: From Meta-Learning to LLM-empowered Pre-Training and Beyond","publication_year":2025,"publication_date":"2025-05-08","ids":{"openalex":"https://openalex.org/W4410636856","doi":"https://doi.org/10.1145/3701716.3715854"},"language":"en","primary_location":{"id":"doi:10.1145/3701716.3715854","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3701716.3715854","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3701716.3715854","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the ACM on Web Conference 2025","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3701716.3715854","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055103025","display_name":"Yuan Fang","orcid":"https://orcid.org/0000-0002-4265-5289"},"institutions":[{"id":"https://openalex.org/I79891267","display_name":"Singapore Management University","ror":"https://ror.org/050qmg959","country_code":"SG","type":"education","lineage":["https://openalex.org/I79891267"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Yuan Fang","raw_affiliation_strings":["Singapore Management University, Singapore, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-4265-5289","affiliations":[{"raw_affiliation_string":"Singapore Management University, Singapore, Singapore","institution_ids":["https://openalex.org/I79891267"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080776231","display_name":"Yuxia Wu","orcid":"https://orcid.org/0000-0003-3873-3982"},"institutions":[{"id":"https://openalex.org/I79891267","display_name":"Singapore Management University","ror":"https://ror.org/050qmg959","country_code":"SG","type":"education","lineage":["https://openalex.org/I79891267"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yuxia Wu","raw_affiliation_strings":["Singapore Management University, Singapore, Singapore"],"raw_orcid":"https://orcid.org/0000-0003-3873-3982","affiliations":[{"raw_affiliation_string":"Singapore Management University, Singapore, Singapore","institution_ids":["https://openalex.org/I79891267"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048717995","display_name":"Xingtong Yu","orcid":"https://orcid.org/0000-0002-2884-8578"},"institutions":[{"id":"https://openalex.org/I79891267","display_name":"Singapore Management University","ror":"https://ror.org/050qmg959","country_code":"SG","type":"education","lineage":["https://openalex.org/I79891267"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Xingtong Yu","raw_affiliation_strings":["Singapore Management University, Singapore, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-2884-8578","affiliations":[{"raw_affiliation_string":"Singapore Management University, Singapore, Singapore","institution_ids":["https://openalex.org/I79891267"]}]},{"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, Gold Coast, Australia"],"raw_orcid":"https://orcid.org/0000-0003-0794-527X","affiliations":[{"raw_affiliation_string":"Griffith University, Gold Coast, Australia","institution_ids":["https://openalex.org/I11701301"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5055103025"],"corresponding_institution_ids":["https://openalex.org/I79891267"],"apc_list":null,"apc_paid":null,"fwci":14.666,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.98668629,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"9","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9979000091552734,"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":0.9979000091552734,"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":0.9958999752998352,"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/T10028","display_name":"Topic Modeling","score":0.9951000213623047,"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":0.6925160884857178},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.6390146017074585},{"id":"https://openalex.org/keywords/meta-learning","display_name":"Meta learning (computer science)","score":0.557922899723053},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5561516880989075},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.5438618659973145},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42984533309936523},{"id":"https://openalex.org/keywords/action-learning","display_name":"Action learning","score":0.4243656396865845},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.2006988823413849},{"id":"https://openalex.org/keywords/mathematics-education","display_name":"Mathematics education","score":0.1869005560874939},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.13864433765411377},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10078969597816467},{"id":"https://openalex.org/keywords/cooperative-learning","display_name":"Cooperative learning","score":0.08096083998680115},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.051589012145996094},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.050339311361312866}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6925160884857178},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.6390146017074585},{"id":"https://openalex.org/C2781002164","wikidata":"https://www.wikidata.org/wiki/Q6822311","display_name":"Meta learning (computer science)","level":3,"score":0.557922899723053},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5561516880989075},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.5438618659973145},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42984533309936523},{"id":"https://openalex.org/C183759332","wikidata":"https://www.wikidata.org/wiki/Q343680","display_name":"Action learning","level":4,"score":0.4243656396865845},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.2006988823413849},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.1869005560874939},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.13864433765411377},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10078969597816467},{"id":"https://openalex.org/C51672120","wikidata":"https://www.wikidata.org/wiki/Q303446","display_name":"Cooperative learning","level":3,"score":0.08096083998680115},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.051589012145996094},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.050339311361312866},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C88610354","wikidata":"https://www.wikidata.org/wiki/Q1813494","display_name":"Teaching method","level":2,"score":0.0},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3701716.3715854","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3701716.3715854","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3701716.3715854","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the ACM on Web Conference 2025","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3701716.3715854","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3701716.3715854","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3701716.3715854","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the ACM on Web Conference 2025","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1482925484","display_name":null,"funder_award_id":"Tier 1","funder_id":"https://openalex.org/F4320320751","funder_display_name":"Ministry of Education - Singapore"},{"id":"https://openalex.org/G3342136854","display_name":null,"funder_award_id":"T2EP20122-0041","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"},{"id":"https://openalex.org/G6831134240","display_name":null,"funder_award_id":"22-SIS-SMU-054","funder_id":"https://openalex.org/F4320320751","funder_display_name":"Ministry of Education - Singapore"}],"funders":[{"id":"https://openalex.org/F4320320751","display_name":"Ministry of Education - Singapore","ror":"https://ror.org/01kcva023"},{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4410636856.pdf","grobid_xml":"https://content.openalex.org/works/W4410636856.grobid-xml"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W3134210100","https://openalex.org/W3153329411","https://openalex.org/W4213091601","https://openalex.org/W4281558957","https://openalex.org/W4366327286","https://openalex.org/W4383468961","https://openalex.org/W4396945188","https://openalex.org/W4401507672","https://openalex.org/W4401863346","https://openalex.org/W6792108999"],"related_works":["https://openalex.org/W2074502265","https://openalex.org/W4214877189","https://openalex.org/W2773965352","https://openalex.org/W2381179799","https://openalex.org/W2980279061","https://openalex.org/W2091347716","https://openalex.org/W98577079","https://openalex.org/W4319309271","https://openalex.org/W4313160267","https://openalex.org/W2548988175"],"abstract_inverted_index":{"Graph":[0],"representation":[1],"learning":[2,32,52,86,175],"has":[3,55],"become":[4],"central":[5],"to":[6,45,63,166],"many":[7],"graph-based":[8],"tasks,":[9],"driving":[10],"advancements":[11,83],"in":[12,72,84,181],"various":[13,115],"domains":[14],"such":[15],"as":[16,57],"web":[17],"search,":[18],"recommendation":[19],"systems,":[20],"and":[21,43,68,96,121,124,145,159,178],"social":[22],"network":[23],"analysis.":[24],"Traditionally,":[25],"these":[26,103,135],"methods":[27,95,140],"rely":[28],"on":[29,53,176],"end-to-end":[30],"supervised":[31],"paradigms":[33],"that":[34,113,129],"require":[35],"abundant":[36],"labeled":[37],"data,":[38],"which":[39],"can":[40],"be":[41],"costly":[42],"difficult":[44],"obtain.":[46],"To":[47],"address":[48],"this":[49,182],"limitation,":[50],"few-shot":[51,85,174],"graphs":[54,177],"emerged":[56],"a":[58,90,110,126,170],"promising":[59],"approach,":[60],"allowing":[61],"models":[62],"generalize":[64],"with":[65,169],"minimal":[66],"supervision":[67],"overcome":[69],"data":[70,118],"scarcity":[71,119],"real-world":[73],"applications.":[74],"This":[75],"tutorial":[76,149],"offers":[77],"an":[78],"in-depth":[79],"exploration":[80],"of":[81,93,117,173],"recent":[82],"for":[87,133,163],"graphs,":[88],"providing":[89],"comparative":[91],"analysis":[92],"state-of-the-art":[94],"identifying":[97],"future":[98,161],"research":[99],"directions.":[100],"We":[101],"categorize":[102],"approaches":[104],"into":[105],"two":[106],"main":[107],"taxonomies:":[108],"(1)":[109],"problem":[111],"taxonomy":[112,128],"examines":[114],"types":[116],"problems":[120],"their":[122],"applications,":[123],"(2)":[125],"technique":[127],"outlines":[130],"key":[131,154],"strategies":[132],"tackling":[134],"challenges,":[136],"including":[137],"meta-learning,":[138],"pre-training":[139],"from":[141,156],"both":[142],"the":[143,157],"pre-LLM":[144],"LLM":[146],"eras.":[147],"The":[148],"will":[150],"conclude":[151],"by":[152],"summarizing":[153],"insights":[155],"literature":[158],"discussing":[160],"avenues":[162],"research,":[164],"aiming":[165],"equip":[167],"participants":[168],"deep":[171],"understanding":[172],"inspire":[179],"innovation":[180],"rapidly":[183],"growing":[184],"field.":[185]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}
