{"id":"https://openalex.org/W3010170699","doi":"https://doi.org/10.1145/3379247.3379286","title":"Graph Based Analytics Enhanced by Deep Learning","display_name":"Graph Based Analytics Enhanced by Deep Learning","publication_year":2020,"publication_date":"2020-01-04","ids":{"openalex":"https://openalex.org/W3010170699","doi":"https://doi.org/10.1145/3379247.3379286","mag":"3010170699"},"language":"en","primary_location":{"id":"doi:10.1145/3379247.3379286","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3379247.3379286","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of 2020 6th International Conference on Computing and Data Engineering","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/A5062936075","display_name":"Strato Angsoteng Bayitaa","orcid":"https://orcid.org/0000-0001-7327-799X"},"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":"Strato Angsoteng Bayitaa","raw_affiliation_strings":["University of Electronic Science and Technology, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043459846","display_name":"Ebenezer Nanor","orcid":null},"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":"Ebenezer Nanor","raw_affiliation_strings":["University of Electronic Science and Technology, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037211171","display_name":"Michael Y. Kpiebaareh","orcid":"https://orcid.org/0000-0002-1637-3050"},"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":"Michael Y. Kpiebaareh","raw_affiliation_strings":["University of Electronic Science and Technology, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023471475","display_name":"Brighter Agyemang","orcid":"https://orcid.org/0000-0002-5050-8916"},"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":"Brighter Agyemang","raw_affiliation_strings":["University of Electronic Science and Technology, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083018515","display_name":"Weiping Wu","orcid":"https://orcid.org/0000-0002-5958-6910"},"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":"Wei-Ping Wu","raw_affiliation_strings":["University of Electronic Science and Technology, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":0.1859,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.54440893,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"39","last_page":"43"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9998000264167786,"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":0.9998000264167786,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9987999796867371,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7545871734619141},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6963105201721191},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6410349011421204},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.5814411640167236},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5108949542045593},{"id":"https://openalex.org/keywords/graph-database","display_name":"Graph database","score":0.5083796381950378},{"id":"https://openalex.org/keywords/learning-analytics","display_name":"Learning analytics","score":0.4604203999042511},{"id":"https://openalex.org/keywords/data-analysis","display_name":"Data analysis","score":0.447520911693573},{"id":"https://openalex.org/keywords/power-graph-analysis","display_name":"Power graph analysis","score":0.41826361417770386},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41708576679229736},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.40991103649139404},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.38729605078697205},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.23506295680999756}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7545871734619141},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6963105201721191},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6410349011421204},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.5814411640167236},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5108949542045593},{"id":"https://openalex.org/C176225458","wikidata":"https://www.wikidata.org/wiki/Q595971","display_name":"Graph database","level":3,"score":0.5083796381950378},{"id":"https://openalex.org/C2777648619","wikidata":"https://www.wikidata.org/wiki/Q2845208","display_name":"Learning analytics","level":2,"score":0.4604203999042511},{"id":"https://openalex.org/C175801342","wikidata":"https://www.wikidata.org/wiki/Q1988917","display_name":"Data analysis","level":2,"score":0.447520911693573},{"id":"https://openalex.org/C106937863","wikidata":"https://www.wikidata.org/wiki/Q7236518","display_name":"Power graph analysis","level":3,"score":0.41826361417770386},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41708576679229736},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.40991103649139404},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.38729605078697205},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.23506295680999756}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3379247.3379286","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3379247.3379286","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of 2020 6th International Conference on Computing and Data Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.6600000262260437}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1927636871","https://openalex.org/W1971937094","https://openalex.org/W2027090774","https://openalex.org/W2040263621","https://openalex.org/W2060347402","https://openalex.org/W2060849841","https://openalex.org/W2111532324","https://openalex.org/W2114507260","https://openalex.org/W2160815625","https://openalex.org/W2293098706","https://openalex.org/W2510242256","https://openalex.org/W2585503147","https://openalex.org/W2608613483","https://openalex.org/W2791152760","https://openalex.org/W2889059162","https://openalex.org/W2949468773","https://openalex.org/W4244729083"],"related_works":["https://openalex.org/W1987827786","https://openalex.org/W2799586942","https://openalex.org/W2504091800","https://openalex.org/W2331775400","https://openalex.org/W2768832457","https://openalex.org/W2816728186","https://openalex.org/W2804624249","https://openalex.org/W605203981","https://openalex.org/W3025951784","https://openalex.org/W4297002069"],"abstract_inverted_index":{"We":[0],"explore":[1],"the":[2,29,49,61,64,70],"use":[3],"of":[4,20,48],"graph":[5,23,36,39,65,93],"analytics":[6,94],"and":[7,25,37,42,67,76],"deep":[8,26,50,71,96],"learning":[9,51,72,97],"to":[10,59,69,91],"generate":[11],"insight":[12],"for":[13,74],"decision":[14],"support":[15],"systems.":[16],"The":[17,44],"solution":[18],"consists":[19,47],"two":[21],"phases:":[22],"analytics,":[24],"learning.":[27],"In":[28],"first":[30],"phase,":[31],"we":[32],"modelled":[33],"data":[34,62],"into":[35],"execute":[38],"analytical":[40],"algorithms":[41],"queries.":[43],"second":[45],"phase":[46],"model":[52,73],"where":[53],"an":[54],"injection":[55],"channel":[56],"is":[57],"used":[58],"\"call\"":[60],"from":[63],"database":[66],"fed":[68],"training":[75],"testing.":[77],"Our":[78],"experimental":[79],"results":[80],"demonstrate":[81],"that":[82],"this":[83],"synergized":[84],"approach":[85],"has":[86],"more":[87],"benefits":[88],"as":[89],"opposed":[90],"using":[92],"or":[95],"independently.":[98]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}