{"id":"https://openalex.org/W3013944669","doi":"https://doi.org/10.1145/3373509.3373574","title":"Few-shot Knowledge Reasoning Method based on Attention Mechanism","display_name":"Few-shot Knowledge Reasoning Method based on Attention Mechanism","publication_year":2019,"publication_date":"2019-10-23","ids":{"openalex":"https://openalex.org/W3013944669","doi":"https://doi.org/10.1145/3373509.3373574","mag":"3013944669"},"language":"en","primary_location":{"id":"doi:10.1145/3373509.3373574","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3373509.3373574","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 8th International Conference on Computing and Pattern Recognition","raw_type":"proceedings-article"},"type":"conference-paper","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/A5040612321","display_name":"Haocheng Xie","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haocheng Xie","raw_affiliation_strings":["College of Computer, National University of Defense Technology, ChangSha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer, National University of Defense Technology, ChangSha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103221123","display_name":"Aiping Li","orcid":"https://orcid.org/0000-0003-3335-0093"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aiping Li","raw_affiliation_strings":["College of Computer, National University of Defense Technology, ChangSha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer, National University of Defense Technology, ChangSha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030424204","display_name":"Yan Jia","orcid":"https://orcid.org/0000-0001-8012-5097"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Jia","raw_affiliation_strings":["College of Computer, National University of Defense Technology, ChangSha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer, National University of Defense Technology, ChangSha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"46","last_page":"51"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9940000176429749,"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/T11719","display_name":"Data Quality and Management","score":0.9674999713897705,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7702993154525757},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.6200189590454102},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5582284331321716},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.5538425445556641},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.508499264717102},{"id":"https://openalex.org/keywords/extensibility","display_name":"Extensibility","score":0.42763036489486694},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3788735270500183},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1796482801437378}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7702993154525757},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.6200189590454102},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5582284331321716},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.5538425445556641},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.508499264717102},{"id":"https://openalex.org/C32833848","wikidata":"https://www.wikidata.org/wiki/Q4115054","display_name":"Extensibility","level":2,"score":0.42763036489486694},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3788735270500183},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1796482801437378},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3373509.3373574","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3373509.3373574","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 8th International Conference on Computing and Pattern Recognition","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W277886906","https://openalex.org/W1533230146","https://openalex.org/W2080133951","https://openalex.org/W2127426251","https://openalex.org/W2127795553","https://openalex.org/W2139212933","https://openalex.org/W2184957013","https://openalex.org/W2250342289","https://openalex.org/W2601450892","https://openalex.org/W2753160622","https://openalex.org/W2787035179","https://openalex.org/W2889234142","https://openalex.org/W2889344053","https://openalex.org/W2962886429","https://openalex.org/W2962936385","https://openalex.org/W2963341924","https://openalex.org/W2964072618","https://openalex.org/W2964116313"],"related_works":["https://openalex.org/W1948607442","https://openalex.org/W3004004161","https://openalex.org/W2044615423","https://openalex.org/W4247766898","https://openalex.org/W4244765761","https://openalex.org/W2361584951","https://openalex.org/W2365327041","https://openalex.org/W4225348249","https://openalex.org/W31122515","https://openalex.org/W2466086502"],"abstract_inverted_index":{"As":[0],"a":[1,17,30,43],"core":[2],"issue":[3],"of":[4,20,33,46,58,81,93,114],"knowledge":[5,8,24,70,115],"graph":[6,9,25],"research,":[7],"reasoning":[10,26],"and":[11,38,88,96],"complementation":[12],"technology":[13],"have":[14],"always":[15],"been":[16,117],"hot":[18],"topic":[19],"current":[21],"research.":[22],"Existing":[23],"techniques":[27],"usually":[28],"requires":[29,42],"large":[31,44],"amount":[32],"training":[34,39,47,123],"for":[35,84],"each":[36,40,85],"relationship,":[37,135],"relationship":[41,86],"number":[45,80],"samples.":[48],"Inspired":[49],"by":[50],"meta-learning":[51,59],"[1],":[52],"this":[53],"paper":[54],"combines":[55],"the":[56,62,73,79,91,94,97,102,105,109,112,121,132,142],"idea":[57],"[1]":[60],"with":[61,131],"attention":[63,106],"mechanism":[64],"[5]":[65],"to":[66,69,126,140],"be":[67,127],"applied":[68],"reasoning.":[71],"On":[72,108],"one":[74],"hand,":[75,111],"it":[76],"greatly":[77,118],"reduces":[78,90],"samples":[82],"required":[83],"training,":[87],"also":[89],"scale":[92],"problem,":[95],"accuracy":[98],"is":[99,124,137],"higher":[100],"than":[101],"model":[103,122],"without":[104],"mechanism;":[107],"other":[110],"extensibility":[113],"has":[116],"improved.":[119],"After":[120],"expected":[125],"completed,":[128],"when":[129],"dealing":[130],"newly":[133],"added":[134],"there":[136],"no":[138],"need":[139],"retrain":[141],"model.":[143]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
