{"id":"https://openalex.org/W4320024141","doi":"https://doi.org/10.1109/bigdata55660.2022.10020318","title":"Trade less Accuracy for Fairness and Trade-off Explanation for GNN","display_name":"Trade less Accuracy for Fairness and Trade-off Explanation for GNN","publication_year":2022,"publication_date":"2022-12-17","ids":{"openalex":"https://openalex.org/W4320024141","doi":"https://doi.org/10.1109/bigdata55660.2022.10020318"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata55660.2022.10020318","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bigdata55660.2022.10020318","pdf_url":null,"source":{"id":"https://openalex.org/S4363607709","display_name":"2022 IEEE International Conference on Big Data (Big Data)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Big Data (Big Data)","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/A5103097958","display_name":"Yazheng Liu","orcid":"https://orcid.org/0009-0005-5573-6861"},"institutions":[{"id":"https://openalex.org/I4210139618","display_name":"Shanghai Key Laboratory of Trustworthy Computing","ror":"https://ror.org/030qbr085","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210139618"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yazheng Liu","raw_affiliation_strings":["Key Laboratory of Trustworthy Distributed Computing and Service (MoE), BUPT"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Trustworthy Distributed Computing and Service (MoE), BUPT","institution_ids":["https://openalex.org/I4210139618"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100672722","display_name":"Xi Zhang","orcid":"https://orcid.org/0000-0002-2111-7385"},"institutions":[{"id":"https://openalex.org/I4210139618","display_name":"Shanghai Key Laboratory of Trustworthy Computing","ror":"https://ror.org/030qbr085","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210139618"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xi Zhang","raw_affiliation_strings":["Key Laboratory of Trustworthy Distributed Computing and Service (MoE), BUPT"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Trustworthy Distributed Computing and Service (MoE), BUPT","institution_ids":["https://openalex.org/I4210139618"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102861459","display_name":"Sihong Xie","orcid":"https://orcid.org/0000-0001-5741-9740"},"institutions":[{"id":"https://openalex.org/I186143895","display_name":"Lehigh University","ror":"https://ror.org/012afjb06","country_code":"US","type":"education","lineage":["https://openalex.org/I186143895"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sihong Xie","raw_affiliation_strings":["Lehigh University,Computer Science and Engineering Dept","Computer Science and Engineering Dept, Lehigh University"],"affiliations":[{"raw_affiliation_string":"Lehigh University,Computer Science and Engineering Dept","institution_ids":["https://openalex.org/I186143895"]},{"raw_affiliation_string":"Computer Science and Engineering Dept, Lehigh University","institution_ids":["https://openalex.org/I186143895"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5103097958"],"corresponding_institution_ids":["https://openalex.org/I4210139618"],"apc_list":null,"apc_paid":null,"fwci":0.1039,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.35805861,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"29","issue":null,"first_page":"4681","last_page":"4690"},"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9851999878883362,"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/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9696999788284302,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/adjacency-matrix","display_name":"Adjacency matrix","score":0.8175171613693237},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7769756317138672},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.696302056312561},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5626083612442017},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5581861138343811},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5166633129119873},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.4815962016582489},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.4707114100456238},{"id":"https://openalex.org/keywords/matrix-representation","display_name":"Matrix representation","score":0.43685173988342285},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.40409883856773376},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.35031482577323914},{"id":"https://openalex.org/keywords/group","display_name":"Group (periodic table)","score":0.2871277332305908},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15737560391426086}],"concepts":[{"id":"https://openalex.org/C180356752","wikidata":"https://www.wikidata.org/wiki/Q727035","display_name":"Adjacency matrix","level":3,"score":0.8175171613693237},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7769756317138672},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.696302056312561},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5626083612442017},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5581861138343811},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5166633129119873},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.4815962016582489},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.4707114100456238},{"id":"https://openalex.org/C103275481","wikidata":"https://www.wikidata.org/wiki/Q6787889","display_name":"Matrix representation","level":3,"score":0.43685173988342285},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.40409883856773376},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.35031482577323914},{"id":"https://openalex.org/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.2871277332305908},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15737560391426086},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata55660.2022.10020318","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bigdata55660.2022.10020318","pdf_url":null,"source":{"id":"https://openalex.org/S4363607709","display_name":"2022 IEEE International Conference on Big Data (Big Data)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5699999928474426,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W1956343362","https://openalex.org/W2000042664","https://openalex.org/W2124637492","https://openalex.org/W2143668817","https://openalex.org/W2157928966","https://openalex.org/W2530395818","https://openalex.org/W2550080458","https://openalex.org/W2594183968","https://openalex.org/W2605409611","https://openalex.org/W2783466287","https://openalex.org/W2807021761","https://openalex.org/W2900470550","https://openalex.org/W2908766589","https://openalex.org/W2922124692","https://openalex.org/W2949605285","https://openalex.org/W2963695795","https://openalex.org/W2964015378","https://openalex.org/W2966133050","https://openalex.org/W2979481854","https://openalex.org/W2983721890","https://openalex.org/W2989701728","https://openalex.org/W2997134027","https://openalex.org/W2997837569","https://openalex.org/W3000120900","https://openalex.org/W3009901425","https://openalex.org/W3033892090","https://openalex.org/W3048692209","https://openalex.org/W3099064659","https://openalex.org/W3100848837","https://openalex.org/W3103409210","https://openalex.org/W3103717137","https://openalex.org/W3105503635","https://openalex.org/W3108823960","https://openalex.org/W3116637551","https://openalex.org/W3117178429","https://openalex.org/W3126371003","https://openalex.org/W3132822009","https://openalex.org/W3158511434","https://openalex.org/W3209451874","https://openalex.org/W4206323856","https://openalex.org/W4287642280","https://openalex.org/W4287649558","https://openalex.org/W4294558607","https://openalex.org/W4297733535","https://openalex.org/W6640850671","https://openalex.org/W6726873649","https://openalex.org/W6728551298","https://openalex.org/W6736518430","https://openalex.org/W6738964360","https://openalex.org/W6748799445","https://openalex.org/W6754204458","https://openalex.org/W6756561102","https://openalex.org/W6760753967","https://openalex.org/W6762760276","https://openalex.org/W6763088173","https://openalex.org/W6763140224","https://openalex.org/W6774014918","https://openalex.org/W6784106106","https://openalex.org/W6784653527","https://openalex.org/W6786048916","https://openalex.org/W6790580958","https://openalex.org/W6791601325"],"related_works":["https://openalex.org/W4389599611","https://openalex.org/W2387858129","https://openalex.org/W1977633309","https://openalex.org/W125803343","https://openalex.org/W2160456903","https://openalex.org/W4317832298","https://openalex.org/W2604585036","https://openalex.org/W4385202499","https://openalex.org/W4390970926","https://openalex.org/W2390483715"],"abstract_inverted_index":{"Graphs":[0],"are":[1,15],"widely":[2],"found":[3],"in":[4],"social":[5],"network":[6,29,155],"analysis":[7],"and":[8,28,69,102,110,126,138,177],"e-commerce,":[9],"where":[10,187],"Graph":[11],"Neural":[12],"Networks":[13],"(GNNs)":[14],"the":[16,58,80,93,108,111,132,135,144,159,167,178,181,188],"state-of":[17],"the-art":[18],"model.":[19],"GNNs":[20],"can":[21,115,171,184],"be":[22],"biased":[23],"due":[24],"to":[25,63,78,106,129,143,158],"sensitive":[26],"attributes":[27],"topology.":[30],"With":[31],"existing":[32],"work":[33],"that":[34,113,152],"learns":[35],"a":[36,44,71,149],"fair":[37],"node":[38],"representation":[39],"or":[40],"adjacency":[41,81],"matrix,":[42],"achieving":[43],"strong":[45],"guarantee":[46],"of":[47,75,95,134,180],"group":[48,76,136],"fairness":[49,77,84,137],"while":[50],"preserving":[51],"prediction":[52,89,139],"accuracy":[53],"is":[54,121,190],"still":[55],"challenging,":[56],"with":[57],"fairness-accuracy":[59,96,175],"trade-off":[60,189],"remaining":[61],"obscure":[62],"human":[64],"decision-makers.":[65],"We":[66],"first":[67],"define":[68],"analyze":[70],"novel":[72,168],"upper":[73,169],"bound":[74,170],"optimize":[79],"matrix":[82],"for":[83],"without":[85],"significantly":[86],"h":[87],"arming":[88],"accuracy.":[90,140],"To":[91],"understand":[92],"nuance":[94],"tradeoff,":[97],"we":[98,147,165],"further":[99],"propose":[100,148],"macroscopic":[101,118],"microscopic":[103,145],"explanation":[104,119,151,182],"methods":[105,183],"reveal":[107],"trade-offs":[109,176],"space":[112],"one":[114],"exploit.":[116],"The":[117],"method":[120],"based":[122],"on":[123],"stratified":[124],"sampling":[125],"linear":[127],"programming":[128],"deterministically":[130],"explain":[131],"dynamics":[133],"Driving":[141],"down":[142],"level,":[146],"path-based":[150],"reveals":[153],"how":[154],"topology":[156],"leads":[157],"tradeoff.":[160],"On":[161],"seven":[162],"graph":[163],"datasets,":[164],"demonstrate":[166],"achieve":[172],"more":[173],"efficient":[174],"intuitiveness":[179],"clearly":[185],"pinpoint":[186],"improved.":[191]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}