{"id":"https://openalex.org/W2009290103","doi":"https://doi.org/10.1109/bibmw.2011.6112417","title":"VeNet: A framework for the analysis of protein interaction networks through vector space embedding","display_name":"VeNet: A framework for the analysis of protein interaction networks through vector space embedding","publication_year":2011,"publication_date":"2011-11-01","ids":{"openalex":"https://openalex.org/W2009290103","doi":"https://doi.org/10.1109/bibmw.2011.6112417","mag":"2009290103"},"language":"en","primary_location":{"id":"doi:10.1109/bibmw.2011.6112417","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibmw.2011.6112417","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW)","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/A5037399554","display_name":"Pietro Hiram Guzzi","orcid":"https://orcid.org/0000-0001-5542-2997"},"institutions":[{"id":"https://openalex.org/I36443711","display_name":"Magna Graecia University","ror":"https://ror.org/0530bdk91","country_code":"IT","type":"education","lineage":["https://openalex.org/I36443711"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"P. H. Guzzi","raw_affiliation_strings":["Department of Medical and Surgical Sciences, University of Catanzaro, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Medical and Surgical Sciences, University of Catanzaro, Italy","institution_ids":["https://openalex.org/I36443711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027369094","display_name":"Pierangelo Veltri","orcid":"https://orcid.org/0000-0003-2494-0294"},"institutions":[{"id":"https://openalex.org/I36443711","display_name":"Magna Graecia University","ror":"https://ror.org/0530bdk91","country_code":"IT","type":"education","lineage":["https://openalex.org/I36443711"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"P. Veltri","raw_affiliation_strings":["Department of Medical and Surgical Sciences, University of Catanzaro, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Medical and Surgical Sciences, University of Catanzaro, Italy","institution_ids":["https://openalex.org/I36443711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004845138","display_name":"Mario Cannataro","orcid":"https://orcid.org/0000-0003-1502-2387"},"institutions":[{"id":"https://openalex.org/I36443711","display_name":"Magna Graecia University","ror":"https://ror.org/0530bdk91","country_code":"IT","type":"education","lineage":["https://openalex.org/I36443711"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"M. Cannataro","raw_affiliation_strings":["Department of Medical and Surgical Sciences, University of Catanzaro, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Medical and Surgical Sciences, University of Catanzaro, Italy","institution_ids":["https://openalex.org/I36443711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5037399554"],"corresponding_institution_ids":["https://openalex.org/I36443711"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.07507146,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"77","issue":null,"first_page":"481","last_page":"487"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9993000030517578,"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"}},{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9975000023841858,"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/T10621","display_name":"Gene Regulatory Network Analysis","score":0.9945999979972839,"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/computer-science","display_name":"Computer science","score":0.7399395108222961},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6614871621131897},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.6104817986488342},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.6009529232978821},{"id":"https://openalex.org/keywords/vector-space","display_name":"Vector space","score":0.5222890377044678},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5042353868484497},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5041791200637817},{"id":"https://openalex.org/keywords/biological-network","display_name":"Biological network","score":0.4646527171134949},{"id":"https://openalex.org/keywords/graph-embedding","display_name":"Graph embedding","score":0.43746206164360046},{"id":"https://openalex.org/keywords/graph-rewriting","display_name":"Graph rewriting","score":0.4358876943588257},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4350047707557678},{"id":"https://openalex.org/keywords/biological-data","display_name":"Biological data","score":0.4273899495601654},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.425481915473938},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36255893111228943},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32397717237472534},{"id":"https://openalex.org/keywords/bioinformatics","display_name":"Bioinformatics","score":0.1512482762336731},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1338634192943573}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7399395108222961},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6614871621131897},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.6104817986488342},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.6009529232978821},{"id":"https://openalex.org/C13336665","wikidata":"https://www.wikidata.org/wiki/Q125977","display_name":"Vector space","level":2,"score":0.5222890377044678},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5042353868484497},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5041791200637817},{"id":"https://openalex.org/C28225019","wikidata":"https://www.wikidata.org/wiki/Q4915005","display_name":"Biological network","level":2,"score":0.4646527171134949},{"id":"https://openalex.org/C75564084","wikidata":"https://www.wikidata.org/wiki/Q5597085","display_name":"Graph embedding","level":3,"score":0.43746206164360046},{"id":"https://openalex.org/C558772884","wikidata":"https://www.wikidata.org/wiki/Q1508564","display_name":"Graph rewriting","level":3,"score":0.4358876943588257},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4350047707557678},{"id":"https://openalex.org/C201797286","wikidata":"https://www.wikidata.org/wiki/Q4914986","display_name":"Biological data","level":2,"score":0.4273899495601654},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.425481915473938},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36255893111228943},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32397717237472534},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.1512482762336731},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1338634192943573},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibmw.2011.6112417","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibmw.2011.6112417","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W574643040","https://openalex.org/W1481730931","https://openalex.org/W1964504902","https://openalex.org/W1966631994","https://openalex.org/W1967497571","https://openalex.org/W1969483458","https://openalex.org/W1983681808","https://openalex.org/W1992594876","https://openalex.org/W2000815456","https://openalex.org/W2018900730","https://openalex.org/W2024805634","https://openalex.org/W2109294083","https://openalex.org/W2111823238","https://openalex.org/W2117441377","https://openalex.org/W2132549764","https://openalex.org/W2141461755","https://openalex.org/W2164281374","https://openalex.org/W2170726034","https://openalex.org/W6685146747"],"related_works":["https://openalex.org/W2155492529","https://openalex.org/W4252504573","https://openalex.org/W4385510321","https://openalex.org/W15348386","https://openalex.org/W2314128295","https://openalex.org/W1509942269","https://openalex.org/W4287026692","https://openalex.org/W2077895977","https://openalex.org/W2609388058","https://openalex.org/W2132274001"],"abstract_inverted_index":{"Graph":[0],"data":[1,142],"structures":[2,118],"are":[3,27,70,78],"commonly":[4],"used":[5,28,60,197],"in":[6,13,21,35,71,185,198,204],"computer":[7],"science":[8],"for":[9,95,139,153],"modelling":[10],"real":[11],"objects":[12],"a":[14,36,41,86,109,137,151,186,199],"large":[15,87,200],"number":[16],"of":[17,85,89,104,116,124,135,156,181,202],"applications.":[18],"For":[19],"instance,":[20],"bioinformatics":[22],"and":[23,32,101,164],"computational":[24,102],"biology":[25],"they":[26],"to":[29,61],"model":[30,44],"proteins":[31,45],"their":[33],"interactions":[34,49],"living":[37],"organism.":[38],"In":[39],"such":[40,136,182],"scenario":[42],"nodes":[43],"while":[46],"edges":[47],"represent":[48],"among":[50,98],"them.":[51],"Thus,":[52],"graph":[53,117],"based":[54,126],"pattern":[55,127],"recognition":[56,128],"algorithms":[57,69],"may":[58,195],"be":[59,196],"extract":[62],"biologically":[63],"meaningful":[64],"knowledge":[65],"from":[66],"data.":[67],"Such":[68],"general":[72],"computationally":[73],"expensive.":[74],"Conversely,":[75],"vector-based":[76],"representation":[77,105],"semantically":[79],"less-powerful":[80],"but":[81],"enable":[82],"the":[83,96,114,122,133,154,165,179],"use":[84,123,134],"class":[88,201],"efficient":[90],"algorithms.":[91,129],"A":[92],"possible":[93],"solution":[94],"trade-off":[97],"semantic":[99],"expressiveness":[100],"tractability":[103],"is":[106,171,190],"realized":[107],"by":[108],"two":[110],"step":[111],"process:":[112],"(i)":[113],"transformation":[115],"into":[119,162,173],"vectors,":[120],"(ii)":[121],"vector":[125],"Despite":[130],"this":[131],"possibility,":[132],"workflow":[138],"protein":[140,159],"interaction":[141,160],"remains":[143],"still":[144],"an":[145,174,183],"unexplored":[146],"field.":[147],"This":[148],"paper":[149],"presents":[150],"methodology":[152,170],"embedding":[155],"graphs":[157],"representing":[158],"network":[161],"vectors":[163],"subsequent":[166],"analysis.":[167],"The":[168],"presented":[169],"implemented":[172],"available":[175],"tool,":[176],"VeNEt,":[177],"showing":[178],"effectiveness":[180],"approach":[184],"case":[187],"study.":[188],"VeNEt":[189],"easily":[191],"customisable":[192],"so":[193],"it":[194],"problems":[203],"biological":[205],"networks.":[206]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
