{"id":"https://openalex.org/W4321784571","doi":"https://doi.org/10.1142/s0218001423500106","title":"Edge-Labeled and Node-Aggregated Graph Neural Networks for Few-Shot Relation Classification","display_name":"Edge-Labeled and Node-Aggregated Graph Neural Networks for Few-Shot Relation Classification","publication_year":2023,"publication_date":"2023-02-24","ids":{"openalex":"https://openalex.org/W4321784571","doi":"https://doi.org/10.1142/s0218001423500106"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001423500106","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001423500106","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","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/A5100449263","display_name":"Jiayi Wang","orcid":"https://orcid.org/0000-0002-7785-3381"},"institutions":[{"id":"https://openalex.org/I150807315","display_name":"Guangxi University","ror":"https://ror.org/02c9qn167","country_code":"CN","type":"education","lineage":["https://openalex.org/I150807315"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiayi Wang","raw_affiliation_strings":["Guangxi University, Nanning, Guangxi 530004, P. R. China"],"affiliations":[{"raw_affiliation_string":"Guangxi University, Nanning, Guangxi 530004, P. R. China","institution_ids":["https://openalex.org/I150807315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008154497","display_name":"Lina Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I150807315","display_name":"Guangxi University","ror":"https://ror.org/02c9qn167","country_code":"CN","type":"education","lineage":["https://openalex.org/I150807315"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lina Yang","raw_affiliation_strings":["Guangxi University, Nanning, Guangxi 530004, P. R. China"],"affiliations":[{"raw_affiliation_string":"Guangxi University, Nanning, Guangxi 530004, P. R. China","institution_ids":["https://openalex.org/I150807315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114626582","display_name":"Xichun Li","orcid":null},"institutions":[{"id":"https://openalex.org/I4210118063","display_name":"Guangxi Normal University for Nationalities","ror":"https://ror.org/02cejc171","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210118063"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xichun Li","raw_affiliation_strings":["Guangxi Normal University for Nationalities, Chongzuo, Guangxi 532200, P. R. China"],"affiliations":[{"raw_affiliation_string":"Guangxi Normal University for Nationalities, Chongzuo, Guangxi 532200, P. R. China","institution_ids":["https://openalex.org/I4210118063"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077075722","display_name":"Patrick S. P. Wang","orcid":"https://orcid.org/0000-0002-9336-3155"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Patrick Shen-Pei Wang","raw_affiliation_strings":["Department of Computer and Information Science, Khoury College of Computer Sciences, Northeastern University, Boston, MA 02115, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, Khoury College of Computer Sciences, Northeastern University, Boston, MA 02115, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101751717","display_name":"Zuqiang Meng","orcid":"https://orcid.org/0000-0002-4911-6958"},"institutions":[{"id":"https://openalex.org/I150807315","display_name":"Guangxi University","ror":"https://ror.org/02c9qn167","country_code":"CN","type":"education","lineage":["https://openalex.org/I150807315"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zuqiang Meng","raw_affiliation_strings":["Guangxi University, Nanning, Guangxi 530004, P. R. China"],"affiliations":[{"raw_affiliation_string":"Guangxi University, Nanning, Guangxi 530004, P. R. China","institution_ids":["https://openalex.org/I150807315"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5008154497"],"corresponding_institution_ids":["https://openalex.org/I150807315"],"apc_list":null,"apc_paid":null,"fwci":1.2112,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.82460564,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"37","issue":"05","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9990000128746033,"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":0.9983000159263611,"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":0.7532302141189575},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6114737391471863},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6106507182121277},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6103650331497192},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.5828136205673218},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5163329839706421},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.49175599217414856},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4145437479019165},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4103565812110901},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3664655089378357},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.30766791105270386},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.29422685503959656}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7532302141189575},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6114737391471863},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6106507182121277},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6103650331497192},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.5828136205673218},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5163329839706421},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.49175599217414856},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4145437479019165},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4103565812110901},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3664655089378357},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.30766791105270386},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.29422685503959656},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001423500106","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001423500106","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.8100000023841858,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G4998603626","display_name":null,"funder_award_id":"61862005","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5216923561","display_name":null,"funder_award_id":"61762009","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5659565908","display_name":null,"funder_award_id":"61966003","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6300071479","display_name":null,"funder_award_id":"2020GXNSFAA159171","funder_id":"https://openalex.org/F4320322768","funder_display_name":"Natural Science Foundation of Guangxi Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322768","display_name":"Natural Science Foundation of Guangxi Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2115733720","https://openalex.org/W2194321275","https://openalex.org/W2250539671","https://openalex.org/W2559655401","https://openalex.org/W2604272474","https://openalex.org/W2891417293","https://openalex.org/W2943605315","https://openalex.org/W2952402849","https://openalex.org/W2963613359","https://openalex.org/W2963777632","https://openalex.org/W2964022985","https://openalex.org/W2976765180","https://openalex.org/W2999905431","https://openalex.org/W3001807478","https://openalex.org/W4206445139","https://openalex.org/W4298004804"],"related_works":["https://openalex.org/W4234874385","https://openalex.org/W2323648130","https://openalex.org/W2157140558","https://openalex.org/W2378782423","https://openalex.org/W4233308809","https://openalex.org/W2388988621","https://openalex.org/W2357797405","https://openalex.org/W2366623913","https://openalex.org/W2374905595","https://openalex.org/W2516693588"],"abstract_inverted_index":{"Relation":[0],"classification":[1],"as":[2],"a":[3,11,40,106,115],"core":[4],"technique":[5],"for":[6,90,100,118],"building":[7],"knowledge":[8,29],"graphs":[9],"becomes":[10],"critical":[12],"task":[13],"in":[14,53],"natural":[15],"language":[16],"processing.":[17],"The":[18],"fact":[19],"that":[20,128],"humans":[21],"can":[22],"learn":[23],"by":[24],"summarizing":[25],"and":[26,70,77,84,98],"generalizing":[27],"limited":[28],"motivates":[30],"scholars":[31],"to":[32,42,113],"explore":[33],"few-shot":[34,57,91],"learning.":[35,120],"Graph":[36],"neural":[37,62,87,139],"networks":[38,88],"provide":[39],"method":[41],"measure":[43],"the":[44,50,54,129,134,137,142],"distance":[45],"between":[46],"nodes,":[47],"which":[48,74],"improves":[49,133],"model":[51,132],"effect":[52],"problem":[55],"of":[56,108,136],"relation":[58,92],"classification.":[59],"However,":[60],"graph":[61,86,138],"network":[63,140],"methods":[64],"focus":[65],"only":[66],"on":[67,141],"node":[68,101],"information":[69,73,102],"ignore":[71],"edge":[72,94],"implies":[75],"inter-class":[76],"intra-class":[78],"relations.":[79],"This":[80],"paper":[81],"proposes":[82],"edge-labeled":[83],"node-aggregated":[85],"(ENGNNs)":[89],"classification:":[93],"labels":[95],"are":[96],"encoded":[97],"used":[99],"aggregation.":[103],"In":[104],"addition,":[105],"process":[107],"semi-supervised":[109],"learning":[110],"is":[111],"designed":[112],"discover":[114],"better":[116],"solution":[117],"one-shot":[119],"Compared":[121],"with":[122],"previous":[123],"methods,":[124],"experimental":[125],"results":[126],"show":[127],"proposed":[130],"ENGNN":[131],"performance":[135],"FewRel":[143],"dataset.":[144]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
