{"id":"https://openalex.org/W4387848665","doi":"https://doi.org/10.1145/3583780.3615091","title":"Towards Fair Financial Services for All: A Temporal GNN Approach for Individual Fairness on Transaction Networks","display_name":"Towards Fair Financial Services for All: A Temporal GNN Approach for Individual Fairness on Transaction Networks","publication_year":2023,"publication_date":"2023-10-21","ids":{"openalex":"https://openalex.org/W4387848665","doi":"https://doi.org/10.1145/3583780.3615091"},"language":"en","primary_location":{"id":"doi:10.1145/3583780.3615091","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583780.3615091","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://research-information.bris.ac.uk/en/publications/52c59092-9cf8-4146-b48d-d4b6c68cb9ae","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036555049","display_name":"Zixing Song","orcid":"https://orcid.org/0000-0002-8871-3990"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Zixing Song","raw_affiliation_strings":["The Chinese University of Hong Kong, New Territories, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, New Territories, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101398196","display_name":"Yuji Zhang","orcid":"https://orcid.org/0000-0002-7285-6030"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yuji Zhang","raw_affiliation_strings":["The Hong Kong Polytechnic University, Kowloon, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Hong Kong Polytechnic University, Kowloon, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042251906","display_name":"Irwin King","orcid":"https://orcid.org/0000-0001-8106-6447"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Irwin King","raw_affiliation_strings":["The Chinese University of Hong Kong, New Territories, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, New Territories, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5036555049"],"corresponding_institution_ids":["https://openalex.org/I177725633"],"apc_list":null,"apc_paid":null,"fwci":2.5997,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.88829763,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2331","last_page":"2341"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9811999797821045,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9789999723434448,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.798916220664978},{"id":"https://openalex.org/keywords/database-transaction","display_name":"Database transaction","score":0.6861445903778076},{"id":"https://openalex.org/keywords/regret","display_name":"Regret","score":0.6468016505241394},{"id":"https://openalex.org/keywords/bipartite-graph","display_name":"Bipartite graph","score":0.589486300945282},{"id":"https://openalex.org/keywords/movielens","display_name":"MovieLens","score":0.5792058706283569},{"id":"https://openalex.org/keywords/loan","display_name":"Loan","score":0.5521498918533325},{"id":"https://openalex.org/keywords/transaction-data","display_name":"Transaction data","score":0.5513671040534973},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4753667712211609},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4635431468486786},{"id":"https://openalex.org/keywords/financial-transaction","display_name":"Financial transaction","score":0.4336875081062317},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.4283653497695923},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4257625937461853},{"id":"https://openalex.org/keywords/financial-services","display_name":"Financial services","score":0.4121851325035095},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40398702025413513},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.383455753326416},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.24928301572799683},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2324191927909851},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.18132224678993225},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.14369437098503113},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.1094520092010498},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.1093682050704956}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.798916220664978},{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.6861445903778076},{"id":"https://openalex.org/C50817715","wikidata":"https://www.wikidata.org/wiki/Q79895177","display_name":"Regret","level":2,"score":0.6468016505241394},{"id":"https://openalex.org/C197657726","wikidata":"https://www.wikidata.org/wiki/Q174733","display_name":"Bipartite graph","level":3,"score":0.589486300945282},{"id":"https://openalex.org/C2776156558","wikidata":"https://www.wikidata.org/wiki/Q4353746","display_name":"MovieLens","level":4,"score":0.5792058706283569},{"id":"https://openalex.org/C2777764128","wikidata":"https://www.wikidata.org/wiki/Q189539","display_name":"Loan","level":2,"score":0.5521498918533325},{"id":"https://openalex.org/C127722929","wikidata":"https://www.wikidata.org/wiki/Q7833714","display_name":"Transaction data","level":3,"score":0.5513671040534973},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4753667712211609},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4635431468486786},{"id":"https://openalex.org/C164516710","wikidata":"https://www.wikidata.org/wiki/Q1166072","display_name":"Financial transaction","level":3,"score":0.4336875081062317},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4283653497695923},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4257625937461853},{"id":"https://openalex.org/C139043278","wikidata":"https://www.wikidata.org/wiki/Q837171","display_name":"Financial services","level":2,"score":0.4121851325035095},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40398702025413513},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.383455753326416},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.24928301572799683},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2324191927909851},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.18132224678993225},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.14369437098503113},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.1094520092010498},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.1093682050704956},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3583780.3615091","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583780.3615091","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},{"id":"pmh:oai:research-information.bris.ac.uk:openaire/52c59092-9cf8-4146-b48d-d4b6c68cb9ae","is_oa":true,"landing_page_url":"https://research-information.bris.ac.uk/en/publications/52c59092-9cf8-4146-b48d-d4b6c68cb9ae","pdf_url":null,"source":{"id":"https://openalex.org/S4306400895","display_name":"Bristol Research (University of Bristol)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I36234482","host_organization_name":"University of Bristol","host_organization_lineage":["https://openalex.org/I36234482"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Song, Z, Zhang, Y & King, I 2023, Towards Fair Financial Services for All: A Temporal GNN Approach for Individual Fairness on Transaction Networks. in CIKM '23: Proceedings of the 32nd ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, pp. 2331-2341. https://doi.org/10.1145/3583780.3615091","raw_type":"contributionToPeriodical"}],"best_oa_location":{"id":"pmh:oai:research-information.bris.ac.uk:openaire/52c59092-9cf8-4146-b48d-d4b6c68cb9ae","is_oa":true,"landing_page_url":"https://research-information.bris.ac.uk/en/publications/52c59092-9cf8-4146-b48d-d4b6c68cb9ae","pdf_url":null,"source":{"id":"https://openalex.org/S4306400895","display_name":"Bristol Research (University of Bristol)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I36234482","host_organization_name":"University of Bristol","host_organization_lineage":["https://openalex.org/I36234482"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Song, Z, Zhang, Y & King, I 2023, Towards Fair Financial Services for All: A Temporal GNN Approach for Individual Fairness on Transaction Networks. in CIKM '23: Proceedings of the 32nd ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, pp. 2331-2341. https://doi.org/10.1145/3583780.3615091","raw_type":"contributionToPeriodical"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.5199999809265137}],"awards":[{"id":"https://openalex.org/G1766074018","display_name":null,"funder_award_id":"No. 2018AAA0100204","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G434338367","display_name":null,"funder_award_id":"2018AAA0100204","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8199041989","display_name":null,"funder_award_id":"2018AAA010020","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320322942","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W637261511","https://openalex.org/W2069870183","https://openalex.org/W2585835859","https://openalex.org/W2783466287","https://openalex.org/W2901504064","https://openalex.org/W2907492528","https://openalex.org/W2954709318","https://openalex.org/W2969352347","https://openalex.org/W2985576648","https://openalex.org/W2998116985","https://openalex.org/W3001553940","https://openalex.org/W3019863187","https://openalex.org/W3022431164","https://openalex.org/W3024560045","https://openalex.org/W3026076535","https://openalex.org/W3034242908","https://openalex.org/W3035587851","https://openalex.org/W3080365325","https://openalex.org/W3087349682","https://openalex.org/W3097300053","https://openalex.org/W3122083688","https://openalex.org/W3127180058","https://openalex.org/W3133726592","https://openalex.org/W3133744637","https://openalex.org/W3135785846","https://openalex.org/W3169238670","https://openalex.org/W3171764584","https://openalex.org/W3176827378","https://openalex.org/W3177564060","https://openalex.org/W3187395669","https://openalex.org/W3200469690","https://openalex.org/W3202177660","https://openalex.org/W3209459375","https://openalex.org/W3209485964","https://openalex.org/W3209785184","https://openalex.org/W3209809080","https://openalex.org/W3213453119","https://openalex.org/W4206865191","https://openalex.org/W4220689021","https://openalex.org/W4224295683","https://openalex.org/W4225097908","https://openalex.org/W4281613206","https://openalex.org/W4283759118","https://openalex.org/W4283789866","https://openalex.org/W4286231814","https://openalex.org/W4286986033","https://openalex.org/W4289125447","https://openalex.org/W4290874961","https://openalex.org/W4290875022","https://openalex.org/W4290877458","https://openalex.org/W4290878031","https://openalex.org/W4291125860","https://openalex.org/W4292380010","https://openalex.org/W4312504137","https://openalex.org/W4315489374","https://openalex.org/W4362598119","https://openalex.org/W4362714312","https://openalex.org/W4365397996","https://openalex.org/W4367047017","https://openalex.org/W4382202568","https://openalex.org/W4382318032","https://openalex.org/W4385568031","https://openalex.org/W4385568419","https://openalex.org/W6758874912"],"related_works":["https://openalex.org/W2398491113","https://openalex.org/W4400199659","https://openalex.org/W2971351794","https://openalex.org/W4376155396","https://openalex.org/W2061016446","https://openalex.org/W110531265","https://openalex.org/W2995630456","https://openalex.org/W4319659909","https://openalex.org/W2734482121","https://openalex.org/W2885333326"],"abstract_inverted_index":{"Discrimination":[0],"against":[1,64],"minority":[2],"groups":[3],"within":[4],"the":[5,20,55,76,82,103,153,156],"banking":[6],"sector":[7],"has":[8],"long":[9],"resulted":[10],"in":[11,14,19,39,163,168],"unequal":[12],"treatment":[13],"financial":[15],"services.":[16],"Recent":[17],"works":[18],"general":[21],"machine":[22],"learning":[23],"domain":[24],"can":[25],"promote":[26],"group":[27],"fairness":[28,72,97,112,166],"for":[29,91,102,144,159],"predictions":[30,52],"on":[31,75,98,114,149],"static":[32],"tabular":[33],"data,":[34,60],"but":[35],"their":[36,122],"direct":[37],"application":[38],"finance":[40],"often":[41],"proves":[42],"ineffective.":[43],"Financial":[44],"losses":[45],"of":[46,59,121,155],"banks":[47],"may":[48],"arise":[49],"from":[50],"inaccurate":[51],"due":[53],"to":[54],"overlooked":[56],"dynamic":[57,86,100,145],"nature":[58],"and":[61,94,165],"illegal":[62],"discrimination":[63],"some":[65],"individual":[66,96,111],"clients":[67],"could":[68],"still":[69],"occur":[70],"since":[71],"is":[73],"promoted":[74],"subgroup":[77],"level.":[78],"Therefore,":[79],"we":[80,128],"model":[81],"data":[83],"as":[84],"a":[85,118,130,139],"or":[87],"temporal":[88,115],"transaction":[89,146],"network":[90,135],"better":[92],"utility":[93,161],"investigate":[95],"this":[99],"graph":[101,133],"loan":[104],"approval":[105],"task.":[106],"We":[107],"define":[108],"two":[109],"novel":[110],"properties":[113],"graphs":[116],"with":[117],"theoretical":[119],"analysis":[120],"respective":[123],"regret.":[124],"Using":[125],"these":[126],"notions,":[127],"design":[129],"temporally":[131],"fair":[132],"neural":[134],"(TF-GNN)":[136],"approach":[137],"under":[138],"new":[140],"real-time":[141],"evaluation":[142],"scheme":[143],"networks.":[147],"Experiments":[148],"real-world":[150],"datasets":[151],"demonstrate":[152],"superiority":[154],"proposed":[157],"method":[158],"both":[160],"improvement":[162],"accuracy":[164],"promotion":[167],"NDCG@k.":[169]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":9}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
