{"id":"https://openalex.org/W4391550295","doi":"https://doi.org/10.1145/3637494.3637516","title":"Tree-Convolutional-Transformer: A Hybrid Model for Query Plan Representation","display_name":"Tree-Convolutional-Transformer: A Hybrid Model for Query Plan Representation","publication_year":2023,"publication_date":"2023-11-17","ids":{"openalex":"https://openalex.org/W4391550295","doi":"https://doi.org/10.1145/3637494.3637516"},"language":"en","primary_location":{"id":"doi:10.1145/3637494.3637516","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3637494.3637516","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 International Conference on Electronics, Computers and Communication Technology","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/A5048396330","display_name":"Wei Liu","orcid":"https://orcid.org/0009-0007-2411-0852"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wei Liu","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102789488","display_name":"Rui Xi","orcid":"https://orcid.org/0000-0002-6400-9106"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Xi","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102008799","display_name":"Mengshu Hou","orcid":"https://orcid.org/0000-0002-5283-7318"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengshu Hou","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5048396330"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":0.2009,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.55076685,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"126","last_page":"133"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.9980999827384949,"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/T11986","display_name":"Scientific Computing and Data Management","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"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":0.7534505128860474},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5196294188499451},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.49108362197875977},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.386604905128479},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.37721192836761475},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07906928658485413},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.06546127796173096}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7534505128860474},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5196294188499451},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.49108362197875977},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.386604905128479},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.37721192836761475},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07906928658485413},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.06546127796173096},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3637494.3637516","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3637494.3637516","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 International Conference on Electronics, Computers and Communication Technology","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2112796928","https://openalex.org/W2282866165","https://openalex.org/W2396309311","https://openalex.org/W2612690371","https://openalex.org/W2618530766","https://openalex.org/W2790625403","https://openalex.org/W2911464154","https://openalex.org/W2944240329","https://openalex.org/W2970148517","https://openalex.org/W2998249308","https://openalex.org/W3085139254","https://openalex.org/W3099158806","https://openalex.org/W3099273181","https://openalex.org/W3105457604","https://openalex.org/W3129744650","https://openalex.org/W3168288096","https://openalex.org/W3176153696","https://openalex.org/W4283326127"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W2350741829","https://openalex.org/W2530322880","https://openalex.org/W1596801655"],"abstract_inverted_index":{"Optimizing":[0],"a":[1,6,15,22,26,35,67,115],"physical":[2,140],"execution":[3,141],"plan":[4,24,142],"is":[5,25,101],"crucial":[7],"task":[8],"in":[9,86,132],"enhancing":[10],"the":[11,18,49,54,58,90,98,105,108,124,129,134,139],"query":[12,23,109,120],"performance":[13],"of":[14,21,107,128],"database.":[16],"Especially,":[17],"efficient":[19],"vectorization":[20],"pivotal":[27],"challenging":[28],"problem.":[29],"Machine":[30],"learning":[31],"has":[32],"risen":[33],"as":[34],"dominant":[36],"approach,":[37],"but,":[38],"two":[39],"main":[40],"limitations":[41],"are":[42],"still":[43],"existing.":[44],"Firstly,":[45],"struggling":[46],"to":[47,79,88],"encapsulate":[48],"interdependencies":[50,82],"among":[51,83,136],"nodes":[52,137],"within":[53,138],"plan.":[55,110],"Secondly,":[56],"underestimating":[57],"abundant":[59],"database":[60,99],"statistics.":[61],"In":[62],"this":[63],"paper,":[64],"we":[65],"propose":[66],"novel":[68],"tree-structured":[69],"model,":[70],"termed":[71],"Tree-Convolutional-Transformer":[72],"incorporating":[73],"convolutional":[74],"operations":[75],"and":[76,119,126],"attention":[77],"mechanisms,":[78],"effectively":[80],"learn":[81],"nodes.":[84],"Furthermore,":[85],"order":[87],"enrich":[89],"learned":[91],"feature":[92],"representation,":[93],"statistical":[94],"information":[95],"gleaned":[96],"from":[97],"system":[100],"also":[102],"integrated":[103],"into":[104],"encoding":[106],"Through":[111],"comprehensive":[112],"experiments":[113],"on":[114],"real-world":[116],"dataset":[117],"(IMDb)":[118],"workloads,":[121],"results":[122],"demonstrate":[123],"effectiveness":[125],"feasibility":[127],"proposed":[130],"model":[131],"capturing":[133],"dependencies":[135],"tree.":[143]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}