{"id":"https://openalex.org/W2978456023","doi":"https://doi.org/10.1109/ijcnn.2019.8851790","title":"Knowledge graph-based entity importance learning for multi-stream regression on Australian fuel price forecasting","display_name":"Knowledge graph-based entity importance learning for multi-stream regression on Australian fuel price forecasting","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2978456023","doi":"https://doi.org/10.1109/ijcnn.2019.8851790","mag":"2978456023"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2019.8851790","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8851790","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/10453/139569","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5088802206","display_name":"Dennis Chow","orcid":null},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Dennis Chow","raw_affiliation_strings":["Faculty of Engineering and Information Technology, University of Technology Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering and Information Technology, University of Technology Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106578879","display_name":"Anjin Liu","orcid":"https://orcid.org/0000-0002-0733-7138"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Anjin Liu","raw_affiliation_strings":["Centre for Artificial Intelligence, Faculty of Engineering and Information Technology, University of Technology Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"Centre for Artificial Intelligence, Faculty of Engineering and Information Technology, University of Technology Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062192039","display_name":"Guangquan Zhang","orcid":"https://orcid.org/0000-0003-3960-0583"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Guangquan Zhang","raw_affiliation_strings":["Centre for Artificial Intelligence, Faculty of Engineering and Information Technology, University of Technology Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"Centre for Artificial Intelligence, Faculty of Engineering and Information Technology, University of Technology Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100675577","display_name":"Jie L\u00fc","orcid":"https://orcid.org/0000-0003-0690-4732"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jie Lu","raw_affiliation_strings":["Centre for Artificial Intelligence, Faculty of Engineering and Information Technology, University of Technology Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"Centre for Artificial Intelligence, Faculty of Engineering and Information Technology, University of Technology Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5088802206"],"corresponding_institution_ids":["https://openalex.org/I114017466"],"apc_list":null,"apc_paid":null,"fwci":0.289,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.6733527,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"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":0.9986000061035156,"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":0.9986000061035156,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9958000183105469,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9840999841690063,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8054215312004089},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.7436879277229309},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5872722268104553},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5797538757324219},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5059389472007751},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.49709227681159973},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.47421693801879883},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46712902188301086},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.46590572595596313},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4209005832672119},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.24727153778076172}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8054215312004089},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.7436879277229309},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5872722268104553},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5797538757324219},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5059389472007751},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.49709227681159973},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.47421693801879883},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46712902188301086},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46590572595596313},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4209005832672119},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.24727153778076172},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn.2019.8851790","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8851790","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/139569","is_oa":true,"landing_page_url":"http://hdl.handle.net/10453/139569","pdf_url":"http://hdl.handle.net/10453/139569","source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"}],"best_oa_location":{"id":"pmh:oai:opus.lib.uts.edu.au:10453/139569","is_oa":true,"landing_page_url":"http://hdl.handle.net/10453/139569","pdf_url":"http://hdl.handle.net/10453/139569","source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W2978456023.pdf"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W277886906","https://openalex.org/W1538085078","https://openalex.org/W1617839798","https://openalex.org/W2002664886","https://openalex.org/W2222863356","https://openalex.org/W2289429862","https://openalex.org/W2343790552","https://openalex.org/W2439554109","https://openalex.org/W2468805157","https://openalex.org/W2474440862","https://openalex.org/W2494479748","https://openalex.org/W2529138057","https://openalex.org/W2582292785","https://openalex.org/W2616910644","https://openalex.org/W2739567232","https://openalex.org/W2742727318","https://openalex.org/W2759136286","https://openalex.org/W2762444032","https://openalex.org/W2767528836","https://openalex.org/W2784762165","https://openalex.org/W2788395973","https://openalex.org/W2804361106","https://openalex.org/W2804978390","https://openalex.org/W2807761539","https://openalex.org/W2808409763","https://openalex.org/W2852434548","https://openalex.org/W2857145080","https://openalex.org/W2887255427","https://openalex.org/W2898017895","https://openalex.org/W2911546748","https://openalex.org/W2963211917","https://openalex.org/W3102015031","https://openalex.org/W4213279169","https://openalex.org/W4292081177","https://openalex.org/W6720770321"],"related_works":["https://openalex.org/W2604454537","https://openalex.org/W2808284704","https://openalex.org/W2883748392","https://openalex.org/W2897702399","https://openalex.org/W4206028705","https://openalex.org/W2757431232","https://openalex.org/W2954554213","https://openalex.org/W3200431764","https://openalex.org/W4288286922","https://openalex.org/W4206547516"],"abstract_inverted_index":{"A":[0],"knowledge":[1,90,146],"graph":[2,29,147],"(KG)":[3],"represents":[4],"a":[5,15,71,88,150],"collection":[6],"of":[7,10,24,44,56,59,64,99],"interlinked":[8],"descriptions":[9],"entities.":[11],"It":[12],"has":[13,50],"become":[14],"key":[16],"focus":[17],"for":[18,26,91,152],"organising":[19],"and":[20,84,106,122],"utilising":[21],"this":[22,67],"type":[23],"data":[25],"applications.":[27],"Many":[28],"embedding":[30],"techniques":[31],"have":[32],"been":[33,51],"proposed":[34,113,137],"to":[35,53,80,125],"simplify":[36],"the":[37,41,45,54,57,60,82,112,117,136,144],"manipulation":[38],"while":[39],"preserving":[40],"inherent":[42],"structure":[43],"KG.":[46],"However,":[47],"scant":[48],"attention":[49],"given":[52],"investigation":[55],"importance":[58,74,108],"entities":[61,73,83],"(the":[62],"nodes":[63],"KGs).":[65],"In":[66],"paper,":[68],"we":[69,115],"propose":[70],"novel":[72],"learning":[75,155],"framework":[76,97,118],"that":[77,135],"investigates":[78],"how":[79],"weight":[81],"use":[85],"them":[86],"as":[87,149],"prior":[89],"solving":[92],"multi-stream":[93,103],"regression":[94],"problems.":[95],"The":[96,131],"consists":[98],"KG":[100],"feature":[101],"extraction,":[102],"correlation":[104],"analysis,":[105],"entity":[107],"learning.":[109],"To":[110],"evaluate":[111],"method,":[114],"implemented":[116],"based":[119],"on":[120],"Wikidata":[121],"applied":[123],"it":[124],"Australian":[126],"retail":[127],"fuel":[128],"price":[129],"forecasting.":[130],"experiment":[132],"results":[133],"indicate":[134],"method":[138],"reduces":[139],"prediction":[140],"error,":[141],"which":[142],"supports":[143],"weighted":[145],"information":[148],"means":[151],"improving":[153],"machine":[154],"model":[156],"accuracy.":[157]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}