{"id":"https://openalex.org/W2594086867","doi":"https://doi.org/10.1109/isit.2017.8006800","title":"Belief propagation for subgraph detection with imperfect side-information","display_name":"Belief propagation for subgraph detection with imperfect side-information","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2594086867","doi":"https://doi.org/10.1109/isit.2017.8006800","mag":"2594086867"},"language":"en","primary_location":{"id":"doi:10.1109/isit.2017.8006800","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2017.8006800","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"},"type":"preprint","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/A5056965886","display_name":"Arun Kadavankandy","orcid":"https://orcid.org/0000-0001-6466-5835"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Arun Kadavankandy","raw_affiliation_strings":["Inria","University of Nice"],"affiliations":[{"raw_affiliation_string":"Inria","institution_ids":["https://openalex.org/I1326498283"]},{"raw_affiliation_string":"University of Nice","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053557735","display_name":"Konstantin Avrachenkov","orcid":"https://orcid.org/0000-0002-8124-8272"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Konstantin Avrachenkov","raw_affiliation_strings":["Inria"],"affiliations":[{"raw_affiliation_string":"Inria","institution_ids":["https://openalex.org/I1326498283"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064586027","display_name":"Laura Cottatellucci","orcid":"https://orcid.org/0000-0002-6641-8579"},"institutions":[{"id":"https://openalex.org/I1902872","display_name":"EURECOM","ror":"https://ror.org/00sse7z02","country_code":"FR","type":"education","lineage":["https://openalex.org/I1902872","https://openalex.org/I205703379"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Laura Cottatellucci","raw_affiliation_strings":["Eurecom, France"],"affiliations":[{"raw_affiliation_string":"Eurecom, France","institution_ids":["https://openalex.org/I1902872"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065705720","display_name":"Rajesh Sundaresan","orcid":"https://orcid.org/0000-0003-4070-3977"},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rajesh Sundaresan","raw_affiliation_strings":["ECE Department, Indian Institute of Science, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"ECE Department, Indian Institute of Science, Bangalore, India","institution_ids":["https://openalex.org/I59270414"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5056965886"],"corresponding_institution_ids":["https://openalex.org/I1326498283"],"apc_list":null,"apc_paid":null,"fwci":0.47171736,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.63596765,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1603","last_page":"1607"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11321","display_name":"Error Correcting Code Techniques","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11321","display_name":"Error Correcting Code Techniques","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.9932000041007996,"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/induced-subgraph-isomorphism-problem","display_name":"Induced subgraph isomorphism problem","score":0.7078077793121338},{"id":"https://openalex.org/keywords/belief-propagation","display_name":"Belief propagation","score":0.6844840049743652},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.5923893451690674},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.5541024208068848},{"id":"https://openalex.org/keywords/random-graph","display_name":"Random graph","score":0.5461933612823486},{"id":"https://openalex.org/keywords/subgraph-isomorphism-problem","display_name":"Subgraph isomorphism problem","score":0.49163252115249634},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.47146421670913696},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.46720072627067566},{"id":"https://openalex.org/keywords/fraction","display_name":"Fraction (chemistry)","score":0.4651782214641571},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4536121189594269},{"id":"https://openalex.org/keywords/imperfect","display_name":"Imperfect","score":0.43968087434768677},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40588629245758057},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3299373388290405},{"id":"https://openalex.org/keywords/line-graph","display_name":"Line graph","score":0.15882039070129395}],"concepts":[{"id":"https://openalex.org/C191241153","wikidata":"https://www.wikidata.org/wiki/Q6027240","display_name":"Induced subgraph isomorphism problem","level":5,"score":0.7078077793121338},{"id":"https://openalex.org/C152948882","wikidata":"https://www.wikidata.org/wiki/Q4060686","display_name":"Belief propagation","level":3,"score":0.6844840049743652},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.5923893451690674},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.5541024208068848},{"id":"https://openalex.org/C47458327","wikidata":"https://www.wikidata.org/wiki/Q910404","display_name":"Random graph","level":3,"score":0.5461933612823486},{"id":"https://openalex.org/C131992880","wikidata":"https://www.wikidata.org/wiki/Q2528185","display_name":"Subgraph isomorphism problem","level":3,"score":0.49163252115249634},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.47146421670913696},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.46720072627067566},{"id":"https://openalex.org/C149629883","wikidata":"https://www.wikidata.org/wiki/Q660926","display_name":"Fraction (chemistry)","level":2,"score":0.4651782214641571},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4536121189594269},{"id":"https://openalex.org/C2780310539","wikidata":"https://www.wikidata.org/wiki/Q12547192","display_name":"Imperfect","level":2,"score":0.43968087434768677},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40588629245758057},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3299373388290405},{"id":"https://openalex.org/C203776342","wikidata":"https://www.wikidata.org/wiki/Q1378376","display_name":"Line graph","level":3,"score":0.15882039070129395},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"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/C22149727","wikidata":"https://www.wikidata.org/wiki/Q7940747","display_name":"Voltage graph","level":4,"score":0.0},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"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/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit.2017.8006800","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2017.8006800","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.5099999904632568}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1692749124","https://openalex.org/W1859301526","https://openalex.org/W1904715515","https://openalex.org/W1967184357","https://openalex.org/W2010601719","https://openalex.org/W2089554624","https://openalex.org/W2099309550","https://openalex.org/W2133591726","https://openalex.org/W2166602562","https://openalex.org/W2219655028","https://openalex.org/W2302571361","https://openalex.org/W2508909698","https://openalex.org/W2565482447","https://openalex.org/W2594086867","https://openalex.org/W2962704928","https://openalex.org/W2963040507","https://openalex.org/W2963048722","https://openalex.org/W2963336552","https://openalex.org/W3104227803","https://openalex.org/W3106203247","https://openalex.org/W6638899303"],"related_works":["https://openalex.org/W2532922352","https://openalex.org/W231720905","https://openalex.org/W2604893261","https://openalex.org/W2915540008","https://openalex.org/W1482551403","https://openalex.org/W2361654510","https://openalex.org/W2128390795","https://openalex.org/W2954463587","https://openalex.org/W2604114816","https://openalex.org/W2393701947"],"abstract_inverted_index":{"We":[0,33,80],"propose":[1],"a":[2,14,22,70,104,148],"local":[3],"message":[4],"passing":[5],"algorithm":[6,69],"based":[7],"on":[8,119],"Belief":[9],"Propagation":[10],"(BP)":[11],"to":[12,59,67,89,130],"detect":[13],"small":[15,149],"hidden":[16],"Erdos-R\u00e9nyi":[17],"(ER)":[18],"subgraph":[19,41,120,133],"embedded":[20],"in":[21,28,36,145],"larger":[23],"sparse":[24],"ER":[25],"random":[26],"graph":[27,86],"the":[29,37,52,60,68,85,91,109,114,132,142],"presence":[30],"of":[31,39,46,94,103,113,151],"side-information.":[32,152],"consider":[34],"side-information":[35,125],"form":[38],"revealed":[40,53],"nodes":[42,54,96],"called":[43],"cues,":[44],"some":[45],"which":[47,72,77,107],"may":[48,55],"be":[49],"erroneous.":[50],"Namely,":[51],"not":[56,65],"all":[57],"belong":[58],"subgraph,":[61],"and":[62,76],"it":[63],"is":[64],"known":[66],"priori":[71],"cues":[73],"are":[74,78],"correct":[75],"incorrect.":[79],"show":[81],"that":[82,127],"asymptotically":[83],"as":[84],"size":[87],"tends":[88],"infinity,":[90],"expected":[92],"fraction":[93],"misclassified":[95],"approaches":[97],"zero":[98],"for":[99],"any":[100],"positive":[101],"value":[102],"parameter":[105],"\u03bb,":[106],"represents":[108],"effective":[110],"Signal-to-Noise":[111],"Ratio":[112],"detection":[115,121],"problem.":[116],"Previous":[117],"works":[118],"using":[122],"BP":[123,128],"without":[124],"showed":[126],"fails":[129],"recover":[131],"when":[134],"\u03bb":[135],"<;":[136],"1/e.":[137],"Our":[138],"results":[139],"thus":[140],"demonstrate":[141],"substantial":[143],"gains":[144],"having":[146],"even":[147],"amount":[150]},"counts_by_year":[{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}