{"id":"https://openalex.org/W3136668862","doi":"https://doi.org/10.1109/bigdata50022.2020.9378239","title":"Relational Graph Embeddings for Table Retrieval","display_name":"Relational Graph Embeddings for Table Retrieval","publication_year":2020,"publication_date":"2020-12-10","ids":{"openalex":"https://openalex.org/W3136668862","doi":"https://doi.org/10.1109/bigdata50022.2020.9378239","mag":"3136668862"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata50022.2020.9378239","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata50022.2020.9378239","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Big Data (Big Data)","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/A5088517406","display_name":"Mohamed Trabelsi","orcid":"https://orcid.org/0000-0001-5841-5012"},"institutions":[{"id":"https://openalex.org/I186143895","display_name":"Lehigh University","ror":"https://ror.org/012afjb06","country_code":"US","type":"education","lineage":["https://openalex.org/I186143895"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mohamed Trabelsi","raw_affiliation_strings":["Computer Science and Engineering, Lehigh University, Bethlehem, PA, USA"],"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, Lehigh University, Bethlehem, PA, USA","institution_ids":["https://openalex.org/I186143895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100626000","display_name":"Zhiyu Chen","orcid":"https://orcid.org/0000-0002-5148-2447"},"institutions":[{"id":"https://openalex.org/I186143895","display_name":"Lehigh University","ror":"https://ror.org/012afjb06","country_code":"US","type":"education","lineage":["https://openalex.org/I186143895"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhiyu Chen","raw_affiliation_strings":["Computer Science and Engineering, Lehigh University, Bethlehem, PA, USA"],"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, Lehigh University, Bethlehem, PA, USA","institution_ids":["https://openalex.org/I186143895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042328810","display_name":"Brian D. Davison","orcid":"https://orcid.org/0000-0002-9326-3648"},"institutions":[{"id":"https://openalex.org/I186143895","display_name":"Lehigh University","ror":"https://ror.org/012afjb06","country_code":"US","type":"education","lineage":["https://openalex.org/I186143895"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brian D. Davison","raw_affiliation_strings":["Computer Science and Engineering, Lehigh University, Bethlehem, PA, USA"],"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, Lehigh University, Bethlehem, PA, USA","institution_ids":["https://openalex.org/I186143895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065113414","display_name":"Jeff Heflin","orcid":"https://orcid.org/0000-0002-7290-1495"},"institutions":[{"id":"https://openalex.org/I186143895","display_name":"Lehigh University","ror":"https://ror.org/012afjb06","country_code":"US","type":"education","lineage":["https://openalex.org/I186143895"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jeff Heflin","raw_affiliation_strings":["Computer Science and Engineering, Lehigh University, Bethlehem, PA, USA"],"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, Lehigh University, Bethlehem, PA, USA","institution_ids":["https://openalex.org/I186143895"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5088517406"],"corresponding_institution_ids":["https://openalex.org/I186143895"],"apc_list":null,"apc_paid":null,"fwci":0.5386,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.7268326,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"70","issue":null,"first_page":"3005","last_page":"3014"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9977999925613403,"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"}},"topics":[{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9977999925613403,"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"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9970999956130981,"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":0.9939000010490417,"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":0.8414478898048401},{"id":"https://openalex.org/keywords/wordnet","display_name":"WordNet","score":0.7049117088317871},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6056097745895386},{"id":"https://openalex.org/keywords/table","display_name":"Table (database)","score":0.570243239402771},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5649973154067993},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.4399362802505493},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.42352044582366943},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3356744647026062},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.30449551343917847},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.274832546710968}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8414478898048401},{"id":"https://openalex.org/C157659113","wikidata":"https://www.wikidata.org/wiki/Q533822","display_name":"WordNet","level":2,"score":0.7049117088317871},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6056097745895386},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.570243239402771},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5649973154067993},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.4399362802505493},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.42352044582366943},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3356744647026062},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.30449551343917847},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.274832546710968}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata50022.2020.9378239","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata50022.2020.9378239","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7900000214576721,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":68,"referenced_works":["https://openalex.org/W1482214997","https://openalex.org/W1533230146","https://openalex.org/W1614298861","https://openalex.org/W2066806792","https://openalex.org/W2069870183","https://openalex.org/W2070491211","https://openalex.org/W2081580037","https://openalex.org/W2108223890","https://openalex.org/W2108862644","https://openalex.org/W2127426251","https://openalex.org/W2127795553","https://openalex.org/W2140116426","https://openalex.org/W2153579005","https://openalex.org/W2162020046","https://openalex.org/W2170738476","https://openalex.org/W2184957013","https://openalex.org/W2250539671","https://openalex.org/W2283196293","https://openalex.org/W2398606196","https://openalex.org/W2432356473","https://openalex.org/W2493916176","https://openalex.org/W2523679382","https://openalex.org/W2536015822","https://openalex.org/W2604314403","https://openalex.org/W2606780347","https://openalex.org/W2648699835","https://openalex.org/W2728059831","https://openalex.org/W2759136286","https://openalex.org/W2783640434","https://openalex.org/W2788550262","https://openalex.org/W2788809149","https://openalex.org/W2798991201","https://openalex.org/W2905224888","https://openalex.org/W2951359136","https://openalex.org/W2963224980","https://openalex.org/W2963432357","https://openalex.org/W2963759819","https://openalex.org/W2964015378","https://openalex.org/W2964113829","https://openalex.org/W2964116313","https://openalex.org/W2990816204","https://openalex.org/W3007429250","https://openalex.org/W3016988636","https://openalex.org/W3026889466","https://openalex.org/W3095464614","https://openalex.org/W3099839495","https://openalex.org/W3099965312","https://openalex.org/W3101157305","https://openalex.org/W4293879477","https://openalex.org/W4294170691","https://openalex.org/W6628905179","https://openalex.org/W6631964550","https://openalex.org/W6636510571","https://openalex.org/W6678830454","https://openalex.org/W6678846912","https://openalex.org/W6682691769","https://openalex.org/W6685160515","https://openalex.org/W6685350579","https://openalex.org/W6686133869","https://openalex.org/W6695596964","https://openalex.org/W6718112784","https://openalex.org/W6726873649","https://openalex.org/W6736685754","https://openalex.org/W6739133810","https://openalex.org/W6740216407","https://openalex.org/W6744879521","https://openalex.org/W6757374366","https://openalex.org/W6784771137"],"related_works":["https://openalex.org/W2900382651","https://openalex.org/W1981879262","https://openalex.org/W2363417484","https://openalex.org/W4225863708","https://openalex.org/W1599970036","https://openalex.org/W1480103567","https://openalex.org/W158852162","https://openalex.org/W2003651848","https://openalex.org/W1849827364","https://openalex.org/W2786299737"],"abstract_inverted_index":{"Ad":[0],"hoc":[1],"table":[2,93,120],"retrieval":[3,94],"is":[4],"the":[5,9,22,33,57,70,86],"problem":[6,23],"of":[7,35,104],"identifying":[8],"most":[10],"relevant":[11],"datasets":[12],"to":[13,21,53,66,91],"a":[14,26,79],"user's":[15],"query.":[16],"We":[17,47,77,96],"present":[18],"an":[19],"approach":[20,99],"that":[24,84],"builds":[25],"knowledge":[27,58],"graph":[28,50,59],"by":[29],"combining":[30],"information":[31],"about":[32],"collection":[34],"tables":[36,71,105,111],"with":[37],"external":[38],"sources":[39],"such":[40],"as":[41],"WordNet":[42],"and":[43,61,72,109],"pretrained":[44],"Glove":[45],"embeddings.":[46,76],"apply":[48],"multi-relational":[49],"convolutional":[51],"networks":[52],"learn":[54],"embeddings":[55,88],"for":[56],"nodes":[60],"utilize":[62],"three":[63],"different":[64],"methods":[65,118],"create":[67,78],"vectors":[68],"representing":[69],"queries":[73],"from":[74,106],"these":[75],"novel":[80],"learning-to-rank":[81],"neural":[82],"architecture":[83],"incorporates":[85],"multiple":[87],"in":[89,119],"order":[90],"improve":[92],"results.":[95],"evaluate":[97],"our":[98],"using":[100],"two":[101],"large":[102],"collections":[103],"public":[107],"WikiTables":[108],"Web":[110],"data,":[112],"demonstrating":[113],"substantial":[114],"improvements":[115],"over":[116],"state-of-the-art":[117],"retrieval.":[121]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}