{"id":"https://openalex.org/W7131394719","doi":"https://doi.org/10.1109/icdm65498.2025.00017","title":"Edge Probability Graph Models Beyond Edge Independency: Concepts, Analyses, and Algorithms","display_name":"Edge Probability Graph Models Beyond Edge Independency: Concepts, Analyses, and Algorithms","publication_year":2025,"publication_date":"2025-11-12","ids":{"openalex":"https://openalex.org/W7131394719","doi":"https://doi.org/10.1109/icdm65498.2025.00017"},"language":null,"primary_location":{"id":"doi:10.1109/icdm65498.2025.00017","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdm65498.2025.00017","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Data Mining (ICDM)","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/A5050870827","display_name":"Fanchen Bu","orcid":"https://orcid.org/0000-0003-0497-3902"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Fanchen Bu","raw_affiliation_strings":["KAIST,Republic of Korea"],"affiliations":[{"raw_affiliation_string":"KAIST,Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041679814","display_name":"Ruochen Yang","orcid":"https://orcid.org/0000-0002-5468-9638"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]},{"id":"https://openalex.org/I2800817003","display_name":"California Southern University","ror":"https://ror.org/058zz0t50","country_code":"US","type":"education","lineage":["https://openalex.org/I2800817003"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ruochen Yang","raw_affiliation_strings":["University of Southern California,United States"],"affiliations":[{"raw_affiliation_string":"University of Southern California,United States","institution_ids":["https://openalex.org/I2800817003","https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123878790","display_name":"Paul Bogdan","orcid":null},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]},{"id":"https://openalex.org/I2800817003","display_name":"California Southern University","ror":"https://ror.org/058zz0t50","country_code":"US","type":"education","lineage":["https://openalex.org/I2800817003"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Paul Bogdan","raw_affiliation_strings":["University of Southern California,United States"],"affiliations":[{"raw_affiliation_string":"University of Southern California,United States","institution_ids":["https://openalex.org/I2800817003","https://openalex.org/I1174212"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5123751569","display_name":"Kijung Shin","orcid":null},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kijung Shin","raw_affiliation_strings":["KAIST,Republic of Korea"],"affiliations":[{"raw_affiliation_string":"KAIST,Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5050870827"],"corresponding_institution_ids":["https://openalex.org/I157485424"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.85599686,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"100","last_page":"109"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.35280001163482666,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.35280001163482666,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.12359999865293503,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.06210000067949295,"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/graph","display_name":"Graph","score":0.5072000026702881},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.48500001430511475},{"id":"https://openalex.org/keywords/random-graph","display_name":"Random graph","score":0.48420000076293945},{"id":"https://openalex.org/keywords/independence","display_name":"Independence (probability theory)","score":0.41119998693466187},{"id":"https://openalex.org/keywords/conditional-independence","display_name":"Conditional independence","score":0.3878999948501587},{"id":"https://openalex.org/keywords/realization","display_name":"Realization (probability)","score":0.3873000144958496},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.36160001158714294},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.3402000069618225}],"concepts":[{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5072000026702881},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4984000027179718},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.48500001430511475},{"id":"https://openalex.org/C47458327","wikidata":"https://www.wikidata.org/wiki/Q910404","display_name":"Random graph","level":3,"score":0.48420000076293945},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47620001435279846},{"id":"https://openalex.org/C35651441","wikidata":"https://www.wikidata.org/wiki/Q625303","display_name":"Independence (probability theory)","level":2,"score":0.41119998693466187},{"id":"https://openalex.org/C79772020","wikidata":"https://www.wikidata.org/wiki/Q5159264","display_name":"Conditional independence","level":2,"score":0.3878999948501587},{"id":"https://openalex.org/C2781089630","wikidata":"https://www.wikidata.org/wiki/Q21856745","display_name":"Realization (probability)","level":2,"score":0.3873000144958496},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.38339999318122864},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3785000145435333},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.36160001158714294},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3474999964237213},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.3402000069618225},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.3018999993801117},{"id":"https://openalex.org/C3018263672","wikidata":"https://www.wikidata.org/wiki/Q1296251","display_name":"Efficient algorithm","level":2,"score":0.29440000653266907},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.2937000095844269},{"id":"https://openalex.org/C146380142","wikidata":"https://www.wikidata.org/wiki/Q1137726","display_name":"Directed graph","level":2,"score":0.28839999437332153},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.2831999957561493},{"id":"https://openalex.org/C128115575","wikidata":"https://www.wikidata.org/wiki/Q5597083","display_name":"Graph factorization","level":5,"score":0.2818000018596649},{"id":"https://openalex.org/C30609935","wikidata":"https://www.wikidata.org/wiki/Q7291969","display_name":"Random geometric graph","level":5,"score":0.26460000872612},{"id":"https://openalex.org/C8272713","wikidata":"https://www.wikidata.org/wiki/Q176737","display_name":"Stochastic process","level":2,"score":0.25920000672340393},{"id":"https://openalex.org/C148764684","wikidata":"https://www.wikidata.org/wiki/Q621751","display_name":"Approximation algorithm","level":2,"score":0.2574999928474426},{"id":"https://openalex.org/C2776372474","wikidata":"https://www.wikidata.org/wiki/Q508291","display_name":"Simplicity","level":2,"score":0.25600001215934753}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icdm65498.2025.00017","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdm65498.2025.00017","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Data Mining (ICDM)","raw_type":"proceedings-article"},{"id":"pmh:oai:koasas.kaist.ac.kr:10203/339645","is_oa":false,"landing_page_url":"http://hdl.handle.net/10203/339645","pdf_url":null,"source":{"id":"https://openalex.org/S4306402435","display_name":"KAIST Institutional Repository (KAIST)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I157485424","host_organization_name":"Korea Advanced Institute of Science and Technology","host_organization_lineage":["https://openalex.org/I157485424"],"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":"CONF"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.5829067826271057}],"awards":[{"id":"https://openalex.org/G6088047432","display_name":null,"funder_award_id":"RS-2024-00406985","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W630423399","https://openalex.org/W1486765142","https://openalex.org/W1572923654","https://openalex.org/W1968414620","https://openalex.org/W1988888548","https://openalex.org/W2008620264","https://openalex.org/W2023655578","https://openalex.org/W2028314260","https://openalex.org/W2030838786","https://openalex.org/W2040886165","https://openalex.org/W2053593718","https://openalex.org/W2057444638","https://openalex.org/W2077862183","https://openalex.org/W2085761620","https://openalex.org/W2102907934","https://openalex.org/W2112090702","https://openalex.org/W2112976607","https://openalex.org/W2115579638","https://openalex.org/W2116477200","https://openalex.org/W2158432527","https://openalex.org/W2163263459","https://openalex.org/W2165309852","https://openalex.org/W2293051258","https://openalex.org/W2327056132","https://openalex.org/W2469279958","https://openalex.org/W2470896761","https://openalex.org/W2479445230","https://openalex.org/W2527790800","https://openalex.org/W2735719388","https://openalex.org/W2792749098","https://openalex.org/W2911443872","https://openalex.org/W2949321510","https://openalex.org/W2962962954","https://openalex.org/W3003536453","https://openalex.org/W4289436753","https://openalex.org/W4312512934","https://openalex.org/W4403924701"],"related_works":[],"abstract_inverted_index":{"Desirable":[0],"random":[1],"graph":[2,37,151],"models":[3],"(RGMs)":[4],"should":[5],"(i)":[6],"reproduce":[7,111,173],"common":[8,40,112,174],"patterns":[9,113],"in":[10],"real-world":[11],"graphs":[12],"(e.g.,":[13,44,143],"powerlaw":[14],"degrees,":[15],"small":[16],"diameters,":[17],"and":[18,29,35,46,81,94,118,136,155,171],"high":[19,91,95,116,169],"clustering),":[20],"(ii)":[21],"generate":[22,65],"variable":[23],"(i.e.,":[24,57,126],"not":[25],"overly":[26],"similar)":[27],"graphs,":[28],"(iii)":[30],"remain":[31],"tractable":[32],"to":[33,55,64,75],"compute":[34],"control":[36],"statistics.":[38],"A":[39],"class":[41],"of":[42,70,158],"RGMs":[43,87,104,165],"Erd\u0151s-R\u00e9nyi":[45],"stochastic":[47],"Kronecker)":[48],"outputs":[49],"edge":[50,62,72,85,106],"probabilities,":[51],"so":[52],"we":[53,102,121,147],"need":[54],"realize":[56],"sample":[58],"from)":[59],"the":[60,68],"output":[61,96,134],"probabilities":[63],"graphs.":[66],"Typically,":[67],"existence":[69],"each":[71],"is":[73],"assumed":[74],"be":[76],"determined":[77],"independently,":[78],"for":[79,150],"simplicity":[80],"tractability.":[82],"However,":[83],"with":[84,153,166],"independency,":[86],"provably":[88,132],"cannot":[89],"produce":[90],"subgraph":[92,142],"densities":[93],"variability":[97],"simultaneously.":[98],"In":[99],"this":[100],"work,":[101],"explore":[103],"beyond":[105],"independence":[107],"that":[108,131,164],"can":[109],"better":[110],"while":[114],"maintaining":[115],"tractability":[117,139,170],"variability.":[119],"Theoretically,":[120],"propose":[122,148],"an":[123],"edge-dependent":[124],"realization":[125],"sampling)":[127],"framework":[128],"called":[129],"binding":[130,154,167],"preserves":[133],"variability,":[135],"derive":[137],"closed-form":[138],"results":[140,162],"on":[141],"triangle)":[144],"densities.":[145],"Practically,":[146],"algorithms":[149],"generation":[152],"parameter":[156],"fitting":[157],"binding.":[159],"Our":[160],"empirical":[161],"demonstrate":[163],"exhibit":[168],"well":[172],"patterns,":[175],"significantly":[176],"improving":[177],"upon":[178],"edge-independent":[179],"RGMs.":[180]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2026-02-26T00:00:00"}