{"id":"https://openalex.org/W4313197105","doi":"https://doi.org/10.1109/ijcnn55064.2022.9892403","title":"KAFNN: A Knowledge Augmentation Framework to Graph Neural Networks","display_name":"KAFNN: A Knowledge Augmentation Framework to Graph Neural Networks","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4313197105","doi":"https://doi.org/10.1109/ijcnn55064.2022.9892403"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn55064.2022.9892403","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9892403","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","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":"2022 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-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/A5004676015","display_name":"Bisheng Tang","orcid":"https://orcid.org/0000-0001-6849-3233"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bisheng Tang","raw_affiliation_strings":["School of Cyber Security, University of Chinese Academy of Sciences,Beijing,China","Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China","School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Cyber Security, University of Chinese Academy of Sciences,Beijing,China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100369453","display_name":"Xiaojun Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojun Chen","raw_affiliation_strings":["School of Cyber Security, University of Chinese Academy of Sciences,Beijing,China","School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China","Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Cyber Security, University of Chinese Academy of Sciences,Beijing,China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102783832","display_name":"Dakui Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dakui Wang","raw_affiliation_strings":["School of Cyber Security, University of Chinese Academy of Sciences,Beijing,China","Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China","School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Cyber Security, University of Chinese Academy of Sciences,Beijing,China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041204026","display_name":"Zhendong Zhao","orcid":"https://orcid.org/0000-0002-8851-4246"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhendong Zhao","raw_affiliation_strings":["School of Cyber Security, University of Chinese Academy of Sciences,Beijing,China","Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China","School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Cyber Security, University of Chinese Academy of Sciences,Beijing,China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18218924,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9937000274658203,"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":0.9836999773979187,"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":0.8259490728378296},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6175749897956848},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5922166705131531},{"id":"https://openalex.org/keywords/dropout","display_name":"Dropout (neural networks)","score":0.5877751111984253},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5716468095779419},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5503309965133667},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4720737934112549},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.4579209089279175},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.44107505679130554},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1938413381576538}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8259490728378296},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6175749897956848},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5922166705131531},{"id":"https://openalex.org/C2776145597","wikidata":"https://www.wikidata.org/wiki/Q25339462","display_name":"Dropout (neural networks)","level":2,"score":0.5877751111984253},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5716468095779419},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5503309965133667},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4720737934112549},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.4579209089279175},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.44107505679130554},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1938413381576538},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn55064.2022.9892403","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9892403","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","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":"2022 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G3511899757","display_name":null,"funder_award_id":"2021YFB3101400","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W1924770834","https://openalex.org/W2095705004","https://openalex.org/W2142498761","https://openalex.org/W2606780347","https://openalex.org/W2760923572","https://openalex.org/W2792764867","https://openalex.org/W2900470550","https://openalex.org/W2916106175","https://openalex.org/W2942105743","https://openalex.org/W2962810718","https://openalex.org/W2964015378","https://openalex.org/W2964051675","https://openalex.org/W2998269939","https://openalex.org/W3005680577","https://openalex.org/W3009561768","https://openalex.org/W3022061250","https://openalex.org/W3034492151","https://openalex.org/W3035524453","https://openalex.org/W3081661078","https://openalex.org/W3091905774","https://openalex.org/W3094275584","https://openalex.org/W3128238149","https://openalex.org/W3152626252","https://openalex.org/W3168406300","https://openalex.org/W3171007011","https://openalex.org/W3171913066","https://openalex.org/W3189898989","https://openalex.org/W3192084854","https://openalex.org/W3207257408","https://openalex.org/W3213009930","https://openalex.org/W3214495341","https://openalex.org/W4285723986","https://openalex.org/W4288088467","https://openalex.org/W4289389616","https://openalex.org/W4294558607","https://openalex.org/W6640212811","https://openalex.org/W6674330103","https://openalex.org/W6681029592","https://openalex.org/W6726873649","https://openalex.org/W6736685754","https://openalex.org/W6738964360","https://openalex.org/W6745537798","https://openalex.org/W6749825310","https://openalex.org/W6755863455","https://openalex.org/W6756561102","https://openalex.org/W6760001035","https://openalex.org/W6766892243","https://openalex.org/W6774314701","https://openalex.org/W6774670964","https://openalex.org/W6777265123","https://openalex.org/W6779961489","https://openalex.org/W6783596713","https://openalex.org/W6784629068","https://openalex.org/W6790859549","https://openalex.org/W6796597629","https://openalex.org/W6796837634","https://openalex.org/W6803318553","https://openalex.org/W6803716805"],"related_works":["https://openalex.org/W2076543106","https://openalex.org/W3158157485","https://openalex.org/W2523437662","https://openalex.org/W89844371","https://openalex.org/W2019891950","https://openalex.org/W2789124470","https://openalex.org/W2085842814","https://openalex.org/W4286643620","https://openalex.org/W3000407446","https://openalex.org/W4387048144"],"abstract_inverted_index":{"The":[0],"semi-supervised":[1],"node":[2],"classification":[3],"task":[4],"is":[5,45],"a":[6,61,130],"basic":[7],"problem":[8],"in":[9,18,129],"graph":[10,19],"neural":[11,23,88],"networks(GNNs).":[12],"GNNs":[13,38,85],"have":[14,117],"shown":[15,118],"their":[16],"superiority":[17],"datasets":[20,112],"over":[21],"traditional":[22],"networks":[24],"such":[25,51],"as":[26,52,95,97],"Multilayer":[27],"Perceptron.":[28],"However,":[29],"due":[30],"to":[31,47,65,70,90],"the":[32,36,77,81,92],"limitation":[33],"of":[34,83,124],"Weisfeiler-Lehman,":[35],"existing":[37],"will":[39,100],"discard":[40],"some":[41],"prior":[42],"knowledge,":[43],"which":[44,99],"hard":[46],"be":[48],"coped":[49],"with,":[50],"Dropout":[53],"skill,":[54],"etc.":[55],"In":[56],"this":[57],"paper,":[58],"we":[59],"proposed":[60],"framework":[62,82],"called":[63],"KAFNN":[64,120],"introduce":[66],"knowledge":[67,103],"discarded":[68],"obliviously":[69],"enhance":[71],"data":[72,93],"representation.":[73],"KAFNN,":[74],"based":[75,108],"on":[76,109],"Siamese":[78],"network,":[79],"introduces":[80],"combining":[84],"and":[86,113],"deep":[87],"networks(DNNs)":[89],"capture":[91],"presentation":[94,123],"whole":[96],"possible,":[98],"inject":[101],"more":[102],"into":[104],"GNNs.":[105],"Extensive":[106],"experiments":[107],"seven":[110,114],"public":[111],"GNN":[115,127],"models":[116,128],"that":[119],"has":[121],"promoted":[122],"several":[125],"state-of-the-art":[126],"competitive":[131],"performance.":[132]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}