{"id":"https://openalex.org/W2292309877","doi":"https://doi.org/10.1109/isit.2016.7541519","title":"Inference of latent network features via co-intersection representations of graphs","display_name":"Inference of latent network features via co-intersection representations of graphs","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2292309877","doi":"https://doi.org/10.1109/isit.2016.7541519","mag":"2292309877"},"language":"en","primary_location":{"id":"doi:10.1109/isit.2016.7541519","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2016.7541519","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Symposium on Information Theory (ISIT)","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/A5031318960","display_name":"Son Hoang Dau","orcid":"https://orcid.org/0000-0002-2276-017X"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Son Hoang Dau","raw_affiliation_strings":["Coordinated Science Laboratory, University of Illinois at Urbana-Champaign, United States","Coordinated Science Laboratory, University of Illinois, Urbana-Champaign"],"affiliations":[{"raw_affiliation_string":"Coordinated Science Laboratory, University of Illinois at Urbana-Champaign, United States","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"Coordinated Science Laboratory, University of Illinois, Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084947882","display_name":"Olgica Milenkovi\u0107","orcid":"https://orcid.org/0000-0002-1871-4912"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Olgica Milenkovic","raw_affiliation_strings":["Coordinated Science Laboratory, University of Illinois at Urbana-Champaign, United States","Coordinated Science Laboratory, University of Illinois, Urbana-Champaign"],"affiliations":[{"raw_affiliation_string":"Coordinated Science Laboratory, University of Illinois at Urbana-Champaign, United States","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"Coordinated Science Laboratory, University of Illinois, Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5031318960"],"corresponding_institution_ids":["https://openalex.org/I157725225"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.01605325,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1351","last_page":"1355"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9991000294685364,"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"}},{"id":"https://openalex.org/T12536","display_name":"Topological and Geometric Data Analysis","score":0.9897000193595886,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9871000051498413,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/intersection-graph","display_name":"Intersection graph","score":0.8246902227401733},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.7600351572036743},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6103940010070801},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5787976384162903},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5614587664604187},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5391690135002136},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5115171670913696},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5032369494438171},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43607857823371887},{"id":"https://openalex.org/keywords/graph-theory","display_name":"Graph theory","score":0.4320257306098938},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33174967765808105},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.3017282485961914},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2549712061882019},{"id":"https://openalex.org/keywords/line-graph","display_name":"Line graph","score":0.18900525569915771}],"concepts":[{"id":"https://openalex.org/C54540088","wikidata":"https://www.wikidata.org/wiki/Q3498041","display_name":"Intersection graph","level":4,"score":0.8246902227401733},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.7600351572036743},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6103940010070801},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5787976384162903},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5614587664604187},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5391690135002136},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5115171670913696},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5032369494438171},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43607857823371887},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.4320257306098938},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33174967765808105},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.3017282485961914},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2549712061882019},{"id":"https://openalex.org/C203776342","wikidata":"https://www.wikidata.org/wiki/Q1378376","display_name":"Line graph","level":3,"score":0.18900525569915771},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit.2016.7541519","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2016.7541519","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.4099999964237213,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320309036","display_name":"Purdue University","ror":"https://ror.org/02dqehb95"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337399","display_name":"Division of Integrative Organismal Systems","ror":"https://ror.org/01rvays47"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W122020994","https://openalex.org/W1518705996","https://openalex.org/W1602944680","https://openalex.org/W1628419508","https://openalex.org/W1850515838","https://openalex.org/W1981896282","https://openalex.org/W2004112656","https://openalex.org/W2050239729","https://openalex.org/W2056930168","https://openalex.org/W2064150325","https://openalex.org/W2064280346","https://openalex.org/W2085031206","https://openalex.org/W2094050196","https://openalex.org/W2106813372","https://openalex.org/W2107107106","https://openalex.org/W2111565546","https://openalex.org/W2116453796","https://openalex.org/W2125869687","https://openalex.org/W2134871210","https://openalex.org/W2139694940","https://openalex.org/W2158535911","https://openalex.org/W2321467776","https://openalex.org/W4205545339","https://openalex.org/W6636278688","https://openalex.org/W6639041904","https://openalex.org/W6675957326","https://openalex.org/W6676274861","https://openalex.org/W6683315907"],"related_works":["https://openalex.org/W2348909947","https://openalex.org/W4292672442","https://openalex.org/W2362101859","https://openalex.org/W2941610985","https://openalex.org/W2791431590","https://openalex.org/W4235810826","https://openalex.org/W1978900583","https://openalex.org/W2350688482","https://openalex.org/W2122135111","https://openalex.org/W1893408579"],"abstract_inverted_index":{"We":[0,47,79],"propose":[1],"a":[2,26,37],"new":[3,27],"latent":[4],"Boolean":[5],"feature":[6,57],"model":[7,22],"for":[8,84,94],"complex":[9],"networks":[10],"that":[11],"captures":[12],"different":[13],"types":[14],"of":[15,36,43,73],"node":[16,56],"interactions":[17],"and":[18,59,62,91,98],"network":[19],"communities.":[20],"The":[21],"is":[23],"based":[24],"on":[25,69],"concept":[28],"in":[29,76],"graph":[30,82],"theory,":[31],"termed":[32],"the":[33,41,70],"co-intersection":[34,52,77,87,96],"representation":[35],"graph,":[38],"which":[39,85],"generalizes":[40],"notion":[42],"an":[44],"intersection":[45],"representation.":[46],"describe":[48,92],"how":[49],"to":[50,54,64],"use":[51],"representations":[53],"deduce":[55],"sets":[58],"their":[60],"communities,":[61],"proceed":[63],"derive":[65],"several":[66],"general":[67],"bounds":[68],"minimum":[71],"number":[72],"features":[74],"used":[75],"representations.":[78],"also":[80],"discuss":[81],"families":[83],"exact":[86],"characterizations":[88],"are":[89],"possible,":[90],"algorithms":[93],"computing":[95],"numbers":[97],"assignments.":[99]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}