{"id":"https://openalex.org/W4386882988","doi":"https://doi.org/10.1109/tkde.2023.3317631","title":"Exploring Large-Scale Financial Knowledge Graph for SMEs Supply Chain Mining","display_name":"Exploring Large-Scale Financial Knowledge Graph for SMEs Supply Chain Mining","publication_year":2023,"publication_date":"2023-09-20","ids":{"openalex":"https://openalex.org/W4386882988","doi":"https://doi.org/10.1109/tkde.2023.3317631"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2023.3317631","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2023.3317631","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-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/A5024633033","display_name":"Youru Li","orcid":"https://orcid.org/0000-0002-9326-9863"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Youru Li","raw_affiliation_strings":["Institute of Information Science, Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-9326-9863","affiliations":[{"raw_affiliation_string":"Institute of Information Science, Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101867605","display_name":"Zhenfeng Zhu","orcid":"https://orcid.org/0000-0001-7315-3276"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenfeng Zhu","raw_affiliation_strings":["Institute of Information Science, Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7315-3276","affiliations":[{"raw_affiliation_string":"Institute of Information Science, Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035034659","display_name":"Linxun Chen","orcid":"https://orcid.org/0000-0003-3764-737X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Linxun Chen","raw_affiliation_strings":["MYBank, Ant Group, Beijing &amp; Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-3764-737X","affiliations":[{"raw_affiliation_string":"MYBank, Ant Group, Beijing &amp; Shanghai, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101716998","display_name":"Bin Yang","orcid":"https://orcid.org/0000-0003-1348-2582"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Yang","raw_affiliation_strings":["School of Software, Fudan University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-1348-2582","affiliations":[{"raw_affiliation_string":"School of Software, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085434219","display_name":"Yaxi Wu","orcid":"https://orcid.org/0009-0003-1253-4704"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yaxi Wu","raw_affiliation_strings":["MYBank, Ant Group, Beijing &amp; Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0003-1253-4704","affiliations":[{"raw_affiliation_string":"MYBank, Ant Group, Beijing &amp; Shanghai, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101610716","display_name":"Xiaobo Guo","orcid":"https://orcid.org/0000-0002-9981-7402"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaobo Guo","raw_affiliation_strings":["MYBank, Ant Group, Beijing &amp; Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-9981-7402","affiliations":[{"raw_affiliation_string":"MYBank, Ant Group, Beijing &amp; Shanghai, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076786676","display_name":"Bing Han","orcid":"https://orcid.org/0000-0001-6095-9422"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bing Han","raw_affiliation_strings":["MYBank, Ant Group, Beijing &amp; Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-6095-9422","affiliations":[{"raw_affiliation_string":"MYBank, Ant Group, Beijing &amp; Shanghai, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100362745","display_name":"Yao Zhao","orcid":"https://orcid.org/0000-0002-8581-9554"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yao Zhao","raw_affiliation_strings":["Institute of Information Science, Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8581-9554","affiliations":[{"raw_affiliation_string":"Institute of Information Science, Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.0551,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.89706912,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"36","issue":"5","first_page":"1979","last_page":"1990"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10270","display_name":"Blockchain Technology Applications and Security","score":0.9580000042915344,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10270","display_name":"Blockchain Technology Applications and Security","score":0.9580000042915344,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11995","display_name":"FinTech, Crowdfunding, Digital Finance","score":0.9157000184059143,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.658237099647522},{"id":"https://openalex.org/keywords/supply-chain","display_name":"Supply chain","score":0.5760790109634399},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.47096067667007446},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4634542167186737},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.41268548369407654},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4068785607814789},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.37439078092575073},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3587125539779663},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.26478350162506104},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21480754017829895},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.198235422372818},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.1210637092590332}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.658237099647522},{"id":"https://openalex.org/C108713360","wikidata":"https://www.wikidata.org/wiki/Q1824206","display_name":"Supply chain","level":2,"score":0.5760790109634399},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.47096067667007446},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4634542167186737},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.41268548369407654},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4068785607814789},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.37439078092575073},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3587125539779663},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.26478350162506104},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21480754017829895},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.198235422372818},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.1210637092590332},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2023.3317631","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2023.3317631","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5899999737739563,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W103340358","https://openalex.org/W1582600416","https://openalex.org/W1979491143","https://openalex.org/W1981976602","https://openalex.org/W1993767352","https://openalex.org/W2011282943","https://openalex.org/W2034717186","https://openalex.org/W2041713130","https://openalex.org/W2070814944","https://openalex.org/W2093478971","https://openalex.org/W2101267652","https://openalex.org/W2109141599","https://openalex.org/W2152569947","https://openalex.org/W2154851992","https://openalex.org/W2509893387","https://openalex.org/W2545463713","https://openalex.org/W2792839191","https://openalex.org/W2798435682","https://openalex.org/W2808657737","https://openalex.org/W2893775232","https://openalex.org/W2913560138","https://openalex.org/W2945623882","https://openalex.org/W2966349618","https://openalex.org/W2997653844","https://openalex.org/W3032856638","https://openalex.org/W3034242908","https://openalex.org/W3035336738","https://openalex.org/W3039075121","https://openalex.org/W3091993229","https://openalex.org/W3093187255","https://openalex.org/W3093532296","https://openalex.org/W3098087397","https://openalex.org/W3100993589","https://openalex.org/W3101366597","https://openalex.org/W3102172133","https://openalex.org/W3104097132","https://openalex.org/W3106439716","https://openalex.org/W3129482887","https://openalex.org/W3134210100","https://openalex.org/W3154608356","https://openalex.org/W3155919942","https://openalex.org/W3177331119","https://openalex.org/W4206926190","https://openalex.org/W4224322255","https://openalex.org/W4294170691","https://openalex.org/W4297733535","https://openalex.org/W4385245566","https://openalex.org/W6676052419","https://openalex.org/W6682418119","https://openalex.org/W6686821501","https://openalex.org/W6726873649","https://openalex.org/W6729329352","https://openalex.org/W6745537798","https://openalex.org/W6783898687"],"related_works":["https://openalex.org/W2767550285","https://openalex.org/W2620085874","https://openalex.org/W2064496565","https://openalex.org/W1575661125","https://openalex.org/W4309070544","https://openalex.org/W2108330697","https://openalex.org/W169337936","https://openalex.org/W2049056888","https://openalex.org/W2365436291","https://openalex.org/W2054026175"],"abstract_inverted_index":{"While":[0],"large":[1],"enterprises":[2,128,168],"are":[3,169],"benefiting":[4],"from":[5,55,121,185],"their":[6],"global":[7],"supply":[8,25,32,180],"chains":[9],"in":[10,74,129,152,166],"these":[11,79],"years,":[12],"it":[13,29],"is":[14,63,114,143],"not":[15],"easy":[16],"for":[17,178],"Small":[18],"and":[19,72,161],"Medium-sized":[20],"Enterprises":[21],"(SMEs)":[22],"to":[23,116,146],"find":[24],"chain":[26,33,181],"partners.":[27],"Treating":[28],"as":[30,105],"a":[31,83,108,139,172],"mining":[34],"problem,":[35],"some":[36],"deep":[37],"learning":[38,175],"methods,":[39],"especially":[40],"knowledge":[41,159],"graph":[42],"(KG)":[43],"enhanced":[44],"ones,":[45],"can":[46,195],"achieve":[47,196],"workable":[48],"performance":[49,198],"by":[50,171],"utilizing":[51],"explicit":[52],"structure":[53],"information":[54,164],"KG":[56,153],"while":[57],"considering":[58],"effectiveness.":[59],"However,":[60],"such":[61],"improvement":[62],"limited":[64],"when":[65],"facing":[66],"the":[67,118,133,148,157,162,192],"challenges":[68],"of":[69,124],"scalability,":[70],"complexity,":[71],"noisiness":[73],"large-scale":[75,130],"KGs.":[76],"To":[77],"address":[78],"issues,":[80],"we":[81],"propose":[82],"novel":[84,140],"<underline":[85,89,93,98],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[86,90,94,99],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">M</u>":[87],"eta-tag":[88],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">S</u>":[91],"upported":[92],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">C</u>":[95],"onnectivity":[96],"representation":[97,174],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">L</u>":[100],"earning":[101],"framework,":[102,142],"also":[103,144],"known":[104],"MSCL.":[106],"Specifically,":[107],"Meta-tag":[109],"Collaborative":[110],"Filtering":[111],"(MCF)":[112],"method":[113],"proposed":[115,193],"highlight":[117],"representative":[119],"schema":[120],"huge":[122],"number":[123],"paths":[125],"connecting":[126],"two":[127,186],"KG.":[131],"Furthermore,":[132],"DPPs-induced":[134],"Hierarchical":[135],"Path":[136],"Sampling":[137],"(DHPS),":[138],"sampling":[141],"developed":[145],"capture":[147],"latent":[149],"connectivity":[150,173],"pattern":[151],"more":[154],"effectively.":[155],"Moreover,":[156],"path-wise":[158],"representations":[160],"underlying":[163],"inherent":[165],"pairwise":[167],"aggregated":[170],"(CRL)":[176],"approach":[177],"SMEs":[179],"mining.":[182],"Experimental":[183],"results":[184],"real-world":[187],"industries":[188],"have":[189],"illustrated":[190],"that":[191],"model":[194],"competitive":[197],"compared":[199],"with":[200],"other":[201],"existing":[202],"baselines.":[203]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}