{"id":"https://openalex.org/W4401880511","doi":"https://doi.org/10.1109/sam60225.2024.10636593","title":"Filtering as Rewiring for Bias Mitigation on Graphs","display_name":"Filtering as Rewiring for Bias Mitigation on Graphs","publication_year":2024,"publication_date":"2024-07-08","ids":{"openalex":"https://openalex.org/W4401880511","doi":"https://doi.org/10.1109/sam60225.2024.10636593"},"language":"en","primary_location":{"id":"doi:10.1109/sam60225.2024.10636593","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sam60225.2024.10636593","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 13rd Sensor Array and Multichannel Signal Processing Workshop (SAM)","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/A5072782825","display_name":"O. Deniz Kose","orcid":null},"institutions":[{"id":"https://openalex.org/I204250578","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771","country_code":"US","type":"education","lineage":["https://openalex.org/I204250578"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"O. Deniz Kose","raw_affiliation_strings":["University of California Irvine,Dept. of EECS,Irvine,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California Irvine,Dept. of EECS,Irvine,USA","institution_ids":["https://openalex.org/I204250578"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006078163","display_name":"Gonzalo Mateos","orcid":"https://orcid.org/0000-0002-9847-6298"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gonzalo Mateos","raw_affiliation_strings":["University of Rochester,Dept. of ECE,Rochester,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Rochester,Dept. of ECE,Rochester,USA","institution_ids":["https://openalex.org/I5388228"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019337064","display_name":"Yanning Shen","orcid":"https://orcid.org/0000-0002-7333-893X"},"institutions":[{"id":"https://openalex.org/I204250578","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771","country_code":"US","type":"education","lineage":["https://openalex.org/I204250578"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yanning Shen","raw_affiliation_strings":["University of California Irvine,Dept. of EECS,Irvine,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California Irvine,Dept. of EECS,Irvine,USA","institution_ids":["https://openalex.org/I204250578"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2778,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.61351085,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9993000030517578,"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":0.9993000030517578,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9970999956130981,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9847000241279602,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6375203728675842}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6375203728675842}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sam60225.2024.10636593","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sam60225.2024.10636593","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 13rd Sensor Array and Multichannel Signal Processing Workshop (SAM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.8199999928474426,"display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1698699930","https://openalex.org/W1966949944","https://openalex.org/W1976257805","https://openalex.org/W1991252559","https://openalex.org/W2010192956","https://openalex.org/W2026019770","https://openalex.org/W2061214064","https://openalex.org/W2101491865","https://openalex.org/W2132555912","https://openalex.org/W2147427185","https://openalex.org/W2157446903","https://openalex.org/W2158787690","https://openalex.org/W2299462150","https://openalex.org/W2404087539","https://openalex.org/W2521050763","https://openalex.org/W2610495753","https://openalex.org/W2796431263","https://openalex.org/W2798585159","https://openalex.org/W2891283998","https://openalex.org/W2943959761","https://openalex.org/W2962759781","https://openalex.org/W2963702033","https://openalex.org/W2964012239","https://openalex.org/W2994097903","https://openalex.org/W3046435230","https://openalex.org/W3095521706","https://openalex.org/W3097176524","https://openalex.org/W3117178429","https://openalex.org/W3192448376","https://openalex.org/W3200530856","https://openalex.org/W4206323856","https://openalex.org/W4206482253","https://openalex.org/W4226026805","https://openalex.org/W4230962939","https://openalex.org/W4285283644","https://openalex.org/W4287780403","https://openalex.org/W4293363567","https://openalex.org/W4297825594","https://openalex.org/W4379795960","https://openalex.org/W4390691943","https://openalex.org/W4390692039","https://openalex.org/W4393372990","https://openalex.org/W6631943919","https://openalex.org/W6680434193","https://openalex.org/W6689213722","https://openalex.org/W6696497002","https://openalex.org/W6726873649","https://openalex.org/W6740303850","https://openalex.org/W6762760276","https://openalex.org/W6777331262"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W4402327032"],"abstract_inverted_index":{"Machine":[0],"learning":[1],"over":[2],"graphs":[3],"(MLoG)":[4],"has":[5],"attracted":[6],"growing":[7],"attention":[8],"due":[9],"to":[10,43,55,107,127],"its":[11],"effectiveness":[12],"in":[13,58,154,163],"processing":[14],"relational":[15],"data":[16],"from":[17,77],"complex":[18],"systems":[19],"such":[20],"as":[21,97],"social":[22],"networks,":[23],"financial":[24],"markets,":[25],"and":[26,79,159],"the":[27,34,45,67,109,147],"brain.":[28],"However,":[29],"MLoG":[30,78],"algorithms":[31],"that":[32,86,146],"use":[33],"graph":[35,80,92,99,131],"topology":[36,124],"for":[37],"information":[38],"aggregation":[39],"have":[40],"been":[41],"shown":[42],"amplify":[44],"already":[46],"existing":[47],"bias":[48,72,113,136],"towards":[49],"certain":[50],"under-represented":[51],"groups,":[52],"often":[53],"leading":[54],"discriminatory":[56],"results":[57],"downstream":[59],"tasks.":[60],"In":[61],"this":[62,117],"context,":[63],"here":[64],"we":[65,84,119],"consider":[66],"prob-lem":[68],"of":[69,88,156],"topology-induced":[70],"algorithmic":[71],"mitigation":[73],"by":[74],"cross-pollinating":[75],"tools":[76],"signal":[81],"processing.":[82],"Specifi-cally,":[83],"argue":[85],"application":[87],"a":[89,98,121,129,133,161],"tunable":[90],"debiasing":[91],"filter":[93],"can":[94],"be":[95],"reinterpreted":[96],"rewiring":[100],"process,":[101],"thus":[102],"offering":[103],"an":[104],"explicit":[105],"handle":[106],"manipulate":[108],"utility":[110],"versus":[111],"topological":[112],"tradeoff.":[114],"Building":[115],"on":[116,141],"insight,":[118],"formulate":[120],"fairness-aware":[122],"network":[123],"inference":[125],"problem":[126],"obtain":[128],"rewired":[130],"minimizing":[132],"correlation-based,":[134],"unsupervised":[135],"metric.":[137],"Node":[138],"classification":[139,164],"experiments":[140],"several":[142],"real-world":[143],"datasets":[144],"demonstrate":[145],"proposed":[148],"approach":[149],"typically":[150],"outperforms":[151],"state-of-the-art":[152],"baselines":[153],"terms":[155],"fairness":[157],"metrics,":[158],"without":[160],"degradation":[162],"accuracy.":[165]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}