{"id":"https://openalex.org/W3155355417","doi":"https://doi.org/10.1145/3442381.3449925","title":"Knowledge Embedding Based Graph Convolutional Network","display_name":"Knowledge Embedding Based Graph Convolutional Network","publication_year":2021,"publication_date":"2021-04-19","ids":{"openalex":"https://openalex.org/W3155355417","doi":"https://doi.org/10.1145/3442381.3449925","mag":"3155355417"},"language":"en","primary_location":{"id":"doi:10.1145/3442381.3449925","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3442381.3449925","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3442381.3449925","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Web Conference 2021","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/10.1145/3442381.3449925","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102073967","display_name":"Donghan Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Donghan Yu","raw_affiliation_strings":["Carnegie Mellon University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106542734","display_name":"Yiming Yang","orcid":"https://orcid.org/0009-0006-3569-0023"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yiming Yang","raw_affiliation_strings":["Carnegie Mellon University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037514751","display_name":"Ruohong Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ruohong Zhang","raw_affiliation_strings":["Carnegie Mellon University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082763858","display_name":"Yuexin Wu","orcid":"https://orcid.org/0000-0001-9005-5678"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuexin Wu","raw_affiliation_strings":["Google, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google, USA","institution_ids":["https://openalex.org/I1291425158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102073967"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":11.6145,"has_fulltext":true,"cited_by_count":108,"citation_normalized_percentile":{"value":0.98782108,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1619","last_page":"1628"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":1.0,"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":1.0,"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":0.9854999780654907,"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":0.9693999886512756,"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":0.7042314410209656},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.612136721611023},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5895411968231201},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5504459142684937},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.47732028365135193},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.46123194694519043},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2934078574180603}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7042314410209656},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.612136721611023},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5895411968231201},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5504459142684937},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.47732028365135193},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.46123194694519043},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2934078574180603}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3442381.3449925","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3442381.3449925","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3442381.3449925","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Web Conference 2021","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3442381.3449925","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3442381.3449925","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3442381.3449925","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Web Conference 2021","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2581707695","display_name":"BIGDATA: F: Large-Scale Transductive Learning from Heterogeneous Data Sources","funder_award_id":"1546329","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5420615920","display_name":null,"funder_award_id":"IIS-1546329","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306084","display_name":"U.S. Department of Energy","ror":"https://ror.org/01bj3aw27"},{"id":"https://openalex.org/F4320338289","display_name":"Brookhaven National Laboratory","ror":"https://ror.org/02ex6cf31"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3155355417.pdf","grobid_xml":"https://content.openalex.org/works/W3155355417.grobid-xml"},"referenced_works_count":55,"referenced_works":["https://openalex.org/W1533230146","https://openalex.org/W2016753842","https://openalex.org/W2020141429","https://openalex.org/W2094728533","https://openalex.org/W2097772361","https://openalex.org/W2121678312","https://openalex.org/W2127426251","https://openalex.org/W2127795553","https://openalex.org/W2145544171","https://openalex.org/W2250342289","https://openalex.org/W2283196293","https://openalex.org/W2432356473","https://openalex.org/W2468907370","https://openalex.org/W2499696929","https://openalex.org/W2519887557","https://openalex.org/W2521492858","https://openalex.org/W2551361256","https://openalex.org/W2600702321","https://openalex.org/W2604314403","https://openalex.org/W2741750617","https://openalex.org/W2747329762","https://openalex.org/W2759136286","https://openalex.org/W2770250693","https://openalex.org/W2798329844","https://openalex.org/W2807021761","https://openalex.org/W2808284704","https://openalex.org/W2890187992","https://openalex.org/W2899771611","https://openalex.org/W2900252255","https://openalex.org/W2909137510","https://openalex.org/W2911286998","https://openalex.org/W2942026896","https://openalex.org/W2949700412","https://openalex.org/W2950393809","https://openalex.org/W2951105272","https://openalex.org/W2953054275","https://openalex.org/W2953384591","https://openalex.org/W2955238243","https://openalex.org/W2962916648","https://openalex.org/W2963858333","https://openalex.org/W2964121744","https://openalex.org/W2964234429","https://openalex.org/W2964311892","https://openalex.org/W2965857891","https://openalex.org/W2970066309","https://openalex.org/W2977897270","https://openalex.org/W2985015573","https://openalex.org/W2986711944","https://openalex.org/W2990045899","https://openalex.org/W2995448904","https://openalex.org/W2996899616","https://openalex.org/W3098583774","https://openalex.org/W3100848837","https://openalex.org/W4247780151","https://openalex.org/W6713134421"],"related_works":["https://openalex.org/W1968265719","https://openalex.org/W2604454537","https://openalex.org/W4206028705","https://openalex.org/W2808284704","https://openalex.org/W2883748392","https://openalex.org/W2897702399","https://openalex.org/W2757431232","https://openalex.org/W2954554213","https://openalex.org/W3200431764","https://openalex.org/W4288286922"],"abstract_inverted_index":{"Recently,":[0],"a":[1,38,54,94,150],"considerable":[2],"literature":[3],"has":[4],"grown":[5],"up":[6],"around":[7],"the":[8,19,43,77,98,108,117,162,172],"theme":[9],"of":[10,33,57,72,79,110,119,141,153,165,174],"Graph":[11,102],"Convolutional":[12,103],"Network":[13,104],"(GCN).":[14],"How":[15],"to":[16,51],"effectively":[17],"leverage":[18],"rich":[20],"structural":[21],"information":[22],"in":[23,42,112,171],"complex":[24],"graphs,":[25],"such":[26],"as":[27,146],"knowledge":[28,121,124,175],"graphs":[29,52],"with":[30,53,149],"heterogeneous":[31],"types":[32],"entities":[34],"and":[35,75,82,116,128,178],"relations,":[36],"is":[37],"primary":[39],"open":[40],"challenge":[41],"field.":[44],"Most":[45],"GCN":[46,144],"methods":[47,145,170],"are":[48],"either":[49],"restricted":[50],"homogeneous":[55],"type":[56],"edges":[58,83],"(e.g.,":[59],"citation":[60],"links":[61],"only),":[62],"or":[63],"focusing":[64],"on":[65,158],"representation":[66],"learning":[67],"for":[68,84],"nodes":[69,81],"only":[70],"instead":[71],"jointly":[73],"propagating":[74],"updating":[76],"embeddings":[78],"both":[80],"target-driven":[85],"objectives.":[86],"This":[87],"paper":[88],"addresses":[89],"these":[90],"limitations":[91],"by":[92],"proposing":[93],"novel":[95],"framework,":[96],"namely":[97],"Knowledge":[99],"Embedding":[100],"based":[101],"(KE-GCN),":[105],"which":[106],"combines":[107],"power":[109],"GCNs":[111],"graph-based":[113],"belief":[114],"propagation":[115],"strengths":[118],"advanced":[120],"embedding":[122],"(a.k.a.":[123],"graph":[125,154,176],"embedding)":[126],"methods,":[127],"goes":[129],"beyond.":[130],"Our":[131],"theoretical":[132],"analysis":[133],"shows":[134],"that":[135],"KE-GCN":[136,166],"offers":[137],"an":[138],"elegant":[139],"unification":[140],"several":[142],"well-known":[143],"specific":[147],"cases,":[148],"new":[151],"perspective":[152],"convolution.":[155],"Experimental":[156],"results":[157],"benchmark":[159],"datasets":[160],"show":[161],"advantageous":[163],"performance":[164],"over":[167],"strong":[168],"baseline":[169],"tasks":[173],"alignment":[177],"entity":[179],"classification1.":[180]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":26},{"year":2023,"cited_by_count":32},{"year":2022,"cited_by_count":19},{"year":2021,"cited_by_count":6}],"updated_date":"2026-05-12T08:28:47.272897","created_date":"2025-10-10T00:00:00"}
