{"id":"https://openalex.org/W2911473563","doi":"https://doi.org/10.1109/bigdata.2018.8622169","title":"NetDP: An Industrial-Scale Distributed Network Representation Framework for Default Prediction in Ant Credit Pay","display_name":"NetDP: An Industrial-Scale Distributed Network Representation Framework for Default Prediction in Ant Credit Pay","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2911473563","doi":"https://doi.org/10.1109/bigdata.2018.8622169","mag":"2911473563"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2018.8622169","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2018.8622169","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2004.00201","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102161232","display_name":"Jianbin Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210090985","display_name":"Zhejiang Financial College","ror":"https://ror.org/00deghz86","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210090985"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jianbin Lin","raw_affiliation_strings":["Ant Financial Services Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Ant Financial Services Group, Hangzhou, China","institution_ids":["https://openalex.org/I4210090985"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100346697","display_name":"Zhiqiang Zhang","orcid":"https://orcid.org/0000-0001-7857-175X"},"institutions":[{"id":"https://openalex.org/I4210090985","display_name":"Zhejiang Financial College","ror":"https://ror.org/00deghz86","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210090985"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiqiang Zhang","raw_affiliation_strings":["Ant Financial Services Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Ant Financial Services Group, Hangzhou, China","institution_ids":["https://openalex.org/I4210090985"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045140292","display_name":"Jun Zhou","orcid":"https://orcid.org/0000-0001-6033-6102"},"institutions":[{"id":"https://openalex.org/I4210090985","display_name":"Zhejiang Financial College","ror":"https://ror.org/00deghz86","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210090985"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Zhou","raw_affiliation_strings":["Ant Financial Services Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Ant Financial Services Group, Hangzhou, China","institution_ids":["https://openalex.org/I4210090985"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100371535","display_name":"Xiaolong Li","orcid":"https://orcid.org/0000-0001-7493-2650"},"institutions":[{"id":"https://openalex.org/I4210090985","display_name":"Zhejiang Financial College","ror":"https://ror.org/00deghz86","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210090985"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolong Li","raw_affiliation_strings":["Ant Financial Services Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Ant Financial Services Group, Hangzhou, China","institution_ids":["https://openalex.org/I4210090985"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057903200","display_name":"Jingli Fang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210090985","display_name":"Zhejiang Financial College","ror":"https://ror.org/00deghz86","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210090985"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingli Fang","raw_affiliation_strings":["Ant Financial Services Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Ant Financial Services Group, Hangzhou, China","institution_ids":["https://openalex.org/I4210090985"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067740075","display_name":"Yanming Fang","orcid":"https://orcid.org/0000-0003-2320-9539"},"institutions":[{"id":"https://openalex.org/I4210090985","display_name":"Zhejiang Financial College","ror":"https://ror.org/00deghz86","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210090985"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanming Fang","raw_affiliation_strings":["Ant Financial Services Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Ant Financial Services Group, Hangzhou, China","institution_ids":["https://openalex.org/I4210090985"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102106766","display_name":"Quan Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210090985","display_name":"Zhejiang Financial College","ror":"https://ror.org/00deghz86","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210090985"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quan Yu","raw_affiliation_strings":["Ant Financial Services Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Ant Financial Services Group, Hangzhou, China","institution_ids":["https://openalex.org/I4210090985"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101528832","display_name":"Qi Yuan","orcid":"https://orcid.org/0000-0003-3452-3021"},"institutions":[{"id":"https://openalex.org/I4210090985","display_name":"Zhejiang Financial College","ror":"https://ror.org/00deghz86","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210090985"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Qi","raw_affiliation_strings":["Ant Financial Services Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Ant Financial Services Group, Hangzhou, China","institution_ids":["https://openalex.org/I4210090985"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5102161232"],"corresponding_institution_ids":["https://openalex.org/I4210090985"],"apc_list":null,"apc_paid":null,"fwci":1.041,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.83332682,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1960","last_page":"1965"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11653","display_name":"Financial Distress and Bankruptcy Prediction","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1402","display_name":"Accounting"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11653","display_name":"Financial Distress and Bankruptcy Prediction","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1402","display_name":"Accounting"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9965000152587891,"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/T11995","display_name":"FinTech, Crowdfunding, Digital Finance","score":0.9668999910354614,"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":0.7543506622314453},{"id":"https://openalex.org/keywords/credit-card","display_name":"Credit card","score":0.7296195030212402},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6147093772888184},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6019185185432434},{"id":"https://openalex.org/keywords/financial-services","display_name":"Financial services","score":0.41968441009521484},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36506664752960205},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.26819413900375366},{"id":"https://openalex.org/keywords/payment","display_name":"Payment","score":0.1484631597995758},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.1369805932044983},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.1315082311630249},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.07994833588600159}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7543506622314453},{"id":"https://openalex.org/C2983355114","wikidata":"https://www.wikidata.org/wiki/Q161380","display_name":"Credit card","level":3,"score":0.7296195030212402},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6147093772888184},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6019185185432434},{"id":"https://openalex.org/C139043278","wikidata":"https://www.wikidata.org/wiki/Q837171","display_name":"Financial services","level":2,"score":0.41968441009521484},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36506664752960205},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.26819413900375366},{"id":"https://openalex.org/C145097563","wikidata":"https://www.wikidata.org/wiki/Q1148747","display_name":"Payment","level":2,"score":0.1484631597995758},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.1369805932044983},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.1315082311630249},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.07994833588600159}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/bigdata.2018.8622169","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2018.8622169","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2004.00201","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2004.00201","pdf_url":"https://arxiv.org/pdf/2004.00201","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:RePEc:arx:papers:2004.00201","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2004.00201","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2004.00201","pdf_url":"https://arxiv.org/pdf/2004.00201","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1565048244","https://openalex.org/W1888005072","https://openalex.org/W2131816657","https://openalex.org/W2154851992","https://openalex.org/W2313081741","https://openalex.org/W2745107842","https://openalex.org/W2748025215","https://openalex.org/W2962756421","https://openalex.org/W2962845528","https://openalex.org/W3104097132","https://openalex.org/W3105705953","https://openalex.org/W4297571622"],"related_works":["https://openalex.org/W2389214306","https://openalex.org/W2079394618","https://openalex.org/W4235240664","https://openalex.org/W2965083567","https://openalex.org/W1838576100","https://openalex.org/W2095886385","https://openalex.org/W2017058390","https://openalex.org/W2889616422","https://openalex.org/W2089704382","https://openalex.org/W1983399550"],"abstract_inverted_index":{"Ant":[0,9,77,114,169,202],"Credit":[1,115,203],"Pay":[2,116],"is":[3,19,35,66,94,117,136],"a":[4,224,234],"consumer":[5],"credit":[6,15,27,60,104,111,142],"service":[7],"in":[8,51,58,76,107,168,201,223,255],"Financial":[10,78],"Service":[11],"Group.":[12],"Similar":[13],"to":[14,38,82,120,155,173,180,241],"card,":[16],"loan":[17],"default":[18,33,131,175,199,228],"one":[20,65],"of":[21,25,71,113,140,238,251],"the":[22,36,45,48,80,95,100,110,124,147,157,161,165,182,243,249,261],"major":[23],"risks":[24],"this":[26,186],"product.":[28],"Hence,":[29],"effective":[30],"algorithm":[31],"for":[32,44,103,133,198,227,263],"prediction":[34,132,176,200,229],"key":[37],"losses":[39],"reduction":[40],"and":[41,73,86,164,216,219],"profits":[42],"increment":[43],"company.":[46],"However,":[47,130],"challenges":[49,93,163],"facing":[50],"our":[52,239,252],"scenario":[53,167],"are":[54],"different":[55],"from":[56,99,127,138],"those":[57],"conventional":[59,108],"card":[61,105],"service.":[62],"The":[63,68,91,205],"first":[64],"scalability.":[67],"huge":[69],"volume":[70],"users":[72,121,135],"their":[74],"behaviors":[75],"requires":[79,145],"ability":[81],"process":[83],"industrial-scale":[84,191,264],"data":[85,153],"perform":[87],"model":[88],"training":[89],"efficiently.":[90],"second":[92],"cold-start":[96,158,183,256],"problem.":[97,159,184,230],"Different":[98],"manual":[101],"review":[102],"application":[106],"banks,":[109],"limit":[112],"automatically":[118],"offered":[119],"based":[122],"on":[123],"knowledge":[125],"learned":[126],"big":[128],"data.":[129],"new":[134,152],"suffered":[137],"lack":[139],"enough":[141],"behaviors.":[143],"It":[144],"that":[146],"proposal":[148,206,240],"should":[149],"leverage":[150],"other":[151],"source":[154],"alleviate":[156,181],"Considering":[160],"above":[162],"special":[166],"Financial,":[170],"we":[171,188,232],"try":[172],"incorporate":[174],"with":[177],"network":[178,193,208,221],"information":[179,209],"In":[185],"paper,":[187],"propose":[189],"an":[190],"distributed":[192,236],"representation":[194,222],"framework,":[195],"termed":[196],"NetDP,":[197],"Pay.":[204],"explores":[207],"generated":[210],"by":[211],"various":[212],"interaction":[213],"between":[214],"users,":[215],"blends":[217],"unsupervised":[218],"supervised":[220],"unified":[225],"framework":[226],"Moreover,":[231],"present":[233],"parameter-server-based":[235],"implement":[237],"handle":[242],"scalability":[244],"challenge.":[245],"Experimental":[246],"results":[247],"demonstrate":[248],"effectiveness":[250],"proposal,":[253],"especially":[254],"problem,":[257],"as":[258,260],"well":[259],"efficiency":[262],"dataset.":[265]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
