{"id":"https://openalex.org/W4410204323","doi":"https://doi.org/10.1109/tcsi.2025.3566515","title":"Fast Algorithms for Resistance Distances on Signed Graphs","display_name":"Fast Algorithms for Resistance Distances on Signed Graphs","publication_year":2025,"publication_date":"2025-05-08","ids":{"openalex":"https://openalex.org/W4410204323","doi":"https://doi.org/10.1109/tcsi.2025.3566515"},"language":"en","primary_location":{"id":"doi:10.1109/tcsi.2025.3566515","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsi.2025.3566515","pdf_url":null,"source":{"id":"https://openalex.org/S116977442","display_name":"IEEE Transactions on Circuits and Systems I Regular Papers","issn_l":"1549-8328","issn":["1549-8328","1558-0806"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Circuits and Systems I: Regular Papers","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/A5001951354","display_name":"Yuze Dong","orcid":null},"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":true,"raw_author_name":"Yuze Dong","raw_affiliation_strings":["Shanghai Key Laboratory of Intelligent Information Processing, School of Computer Science, Fudan University, Shanghai, China","School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0002-1571-3997","affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Intelligent Information Processing, School of Computer Science, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043153939","display_name":"Yubo Sun","orcid":null},"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":"Yubo Sun","raw_affiliation_strings":["Shanghai Key Laboratory of Intelligent Information Processing, School of Computer Science, Fudan University, Shanghai, China","School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0008-8207-8122","affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Intelligent Information Processing, School of Computer Science, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067533846","display_name":"Zhongzhi Zhang","orcid":"https://orcid.org/0000-0003-1260-2079"},"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":"Zhongzhi Zhang","raw_affiliation_strings":["Shanghai Key Laboratory of Intelligent Information Processing, School of Computer Science, and the Research Institute of Intelligent Complex Systems, Fudan University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-1260-2079","affiliations":[{"raw_affiliation_string":"Shanghai Key Laboratory of Intelligent Information Processing, School of Computer Science, and the Research Institute of Intelligent Complex Systems, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5001951354"],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10449968,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"72","issue":"11","first_page":"7436","last_page":"7448"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10374","display_name":"Advanced Graph Theory Research","score":0.9846000075340271,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10374","display_name":"Advanced Graph Theory Research","score":0.9846000075340271,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T12541","display_name":"Graph Labeling and Dimension Problems","score":0.984499990940094,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9519000053405762,"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/algorithm","display_name":"Algorithm","score":0.5463112592697144},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4736170470714569},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35380423069000244}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5463112592697144},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4736170470714569},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35380423069000244}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsi.2025.3566515","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsi.2025.3566515","pdf_url":null,"source":{"id":"https://openalex.org/S116977442","display_name":"IEEE Transactions on Circuits and Systems I Regular Papers","issn_l":"1549-8328","issn":["1549-8328","1558-0806"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Circuits and Systems I: Regular Papers","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G537946182","display_name":null,"funder_award_id":"61872093","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G55803007","display_name":null,"funder_award_id":"62372112","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W56396525","https://openalex.org/W131619556","https://openalex.org/W134212334","https://openalex.org/W1818569528","https://openalex.org/W1986310535","https://openalex.org/W1987717935","https://openalex.org/W2010150923","https://openalex.org/W2037757210","https://openalex.org/W2045107949","https://openalex.org/W2053171205","https://openalex.org/W2058706632","https://openalex.org/W2070448527","https://openalex.org/W2073191319","https://openalex.org/W2096646197","https://openalex.org/W2102560346","https://openalex.org/W2161984370","https://openalex.org/W2167064216","https://openalex.org/W2168108570","https://openalex.org/W2469279958","https://openalex.org/W2570345021","https://openalex.org/W2748196059","https://openalex.org/W2796365873","https://openalex.org/W2903179546","https://openalex.org/W2953023533","https://openalex.org/W2962714489","https://openalex.org/W2962910558","https://openalex.org/W2963324223","https://openalex.org/W2964140784","https://openalex.org/W2964223707","https://openalex.org/W2964240066","https://openalex.org/W3017419009","https://openalex.org/W3128785957","https://openalex.org/W3213175553","https://openalex.org/W4206193827","https://openalex.org/W4210751359","https://openalex.org/W4247782380","https://openalex.org/W4312524465","https://openalex.org/W4320913345","https://openalex.org/W4366828699","https://openalex.org/W4398774779","https://openalex.org/W4399770791","https://openalex.org/W4400447483","https://openalex.org/W4400909652"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4391375266","https://openalex.org/W1979597421","https://openalex.org/W2007980826","https://openalex.org/W2051487156","https://openalex.org/W2061531152","https://openalex.org/W3002753104","https://openalex.org/W2077600819","https://openalex.org/W2142036596"],"abstract_inverted_index":{"The":[0,142],"resistance":[1,38,55,135],"distance":[2,136],"is":[3,60],"a":[4,20,42,86,98,102],"fundamental":[5],"metric":[6],"in":[7,69,152],"circuit":[8,72,140],"networks,":[9],"with":[10,101],"broad":[11],"applications":[12,147],"across":[13],"various":[14],"domains.":[15],"While":[16],"signed":[17,58,139],"graphs":[18,59],"provide":[19],"more":[21,118],"expressive":[22],"framework":[23],"for":[24,36,57,138,148],"modeling":[25],"real-world":[26,115],"interactions,":[27],"the":[28,77,125,130,134],"presence":[29],"of":[30,44,54,79,122,129],"negative":[31],"edges":[32],"challenges":[33],"conventional":[34],"methods":[35],"computing":[37],"distances,":[39],"leading":[40],"to":[41,90],"lack":[43],"efficient":[45],"algorithms.":[46],"To":[47],"address":[48],"this":[49],"challenge,":[50],"an":[51,70],"equivalent":[52,71],"formulation":[53,75],"distances":[56],"derived,":[61],"establishing":[62],"its":[63],"physical":[64],"interpretation":[65],"as":[66],"voltage":[67],"differences":[68],"network.":[73],"This":[74],"enables":[76],"development":[78],"two":[80],"approximation":[81],"algorithms:":[82],"SolverRD,":[83],"which":[84,96],"employs":[85],"linear":[87],"equation":[88],"solver":[89],"achieve":[91],"high":[92],"accuracy,":[93],"and":[94,104,127],"RandomwalkRD,":[95],"simulates":[97],"random":[99],"walk":[100],"trap":[103],"enhances":[105],"computational":[106],"efficiency":[107,128],"while":[108],"maintaining":[109],"relative":[110],"accuracy.":[111],"Extensive":[112],"experiments":[113],"on":[114],"networks":[116],"containing":[117],"than":[119],"ten":[120],"millions":[121],"nodes":[123,151],"validate":[124],"effectiveness":[126],"proposed":[131,143],"algorithms,":[132],"advancing":[133],"computation":[137],"networks.":[141,155],"algorithms":[144],"could":[145],"find":[146],"detecting":[149],"important":[150],"large-scale":[153],"complex":[154]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}