{"id":"https://openalex.org/W1990488619","doi":"https://doi.org/10.1109/msp.2014.2329213","title":"Big Data Analysis with Signal Processing on Graphs: Representation and processing of massive data sets with irregular structure","display_name":"Big Data Analysis with Signal Processing on Graphs: Representation and processing of massive data sets with irregular structure","publication_year":2014,"publication_date":"2014-08-18","ids":{"openalex":"https://openalex.org/W1990488619","doi":"https://doi.org/10.1109/msp.2014.2329213","mag":"1990488619"},"language":"en","primary_location":{"id":"doi:10.1109/msp.2014.2329213","is_oa":false,"landing_page_url":"https://doi.org/10.1109/msp.2014.2329213","pdf_url":null,"source":{"id":"https://openalex.org/S120977877","display_name":"IEEE Signal Processing Magazine","issn_l":"1053-5888","issn":["1053-5888","1558-0792"],"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 Signal Processing Magazine","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/A5023723304","display_name":"Aliaksei Sandryhaila","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Aliaksei Sandryhaila","raw_affiliation_strings":["Department of Electrical and Computer Engineering, CMU","Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, CMU","institution_ids":[]},{"raw_affiliation_string":"Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045861415","display_name":"Jos\u00e9 M. F. Moura","orcid":"https://orcid.org/0000-0002-9822-8294"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jose M.F. Moura","raw_affiliation_strings":["Carnegie Mellon University (CMU)","Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University (CMU)","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, , USA","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5023723304"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":86.2742,"has_fulltext":false,"cited_by_count":781,"citation_normalized_percentile":{"value":0.99959397,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"31","issue":"5","first_page":"80","last_page":"90"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9993000030517578,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9993000030517578,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9962000250816345,"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/T11321","display_name":"Error Correcting Code Techniques","score":0.9901000261306763,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7146694660186768},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.637354850769043},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.6280862092971802},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5498219132423401},{"id":"https://openalex.org/keywords/discrete-time-signal","display_name":"Discrete-time signal","score":0.5410546064376831},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.5348820686340332},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4985020160675049},{"id":"https://openalex.org/keywords/data-processing","display_name":"Data processing","score":0.4788646399974823},{"id":"https://openalex.org/keywords/graph-theory","display_name":"Graph theory","score":0.4430214762687683},{"id":"https://openalex.org/keywords/multidimensional-signal-processing","display_name":"Multidimensional signal processing","score":0.4238741397857666},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37430745363235474},{"id":"https://openalex.org/keywords/analog-signal","display_name":"Analog signal","score":0.18540671467781067},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15274804830551147},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.08630257844924927}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7146694660186768},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.637354850769043},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.6280862092971802},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5498219132423401},{"id":"https://openalex.org/C146749787","wikidata":"https://www.wikidata.org/wiki/Q15963867","display_name":"Discrete-time signal","level":5,"score":0.5410546064376831},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.5348820686340332},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4985020160675049},{"id":"https://openalex.org/C138827492","wikidata":"https://www.wikidata.org/wiki/Q6661985","display_name":"Data processing","level":2,"score":0.4788646399974823},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.4430214762687683},{"id":"https://openalex.org/C501101116","wikidata":"https://www.wikidata.org/wiki/Q18378116","display_name":"Multidimensional signal processing","level":4,"score":0.4238741397857666},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37430745363235474},{"id":"https://openalex.org/C13412647","wikidata":"https://www.wikidata.org/wiki/Q174948","display_name":"Analog signal","level":3,"score":0.18540671467781067},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15274804830551147},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.08630257844924927},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C131021393","wikidata":"https://www.wikidata.org/wiki/Q7512759","display_name":"Signal transfer function","level":4,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/msp.2014.2329213","is_oa":false,"landing_page_url":"https://doi.org/10.1109/msp.2014.2329213","pdf_url":null,"source":{"id":"https://openalex.org/S120977877","display_name":"IEEE Signal Processing Magazine","issn_l":"1053-5888","issn":["1053-5888","1558-0792"],"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 Signal Processing Magazine","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.5400000214576721}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W181978441","https://openalex.org/W1515333551","https://openalex.org/W1655426301","https://openalex.org/W1698699930","https://openalex.org/W1832762830","https://openalex.org/W1971368490","https://openalex.org/W1978680118","https://openalex.org/W1991252559","https://openalex.org/W1994990018","https://openalex.org/W1998039677","https://openalex.org/W1998849268","https://openalex.org/W2001141328","https://openalex.org/W2001296628","https://openalex.org/W2004559848","https://openalex.org/W2019764548","https://openalex.org/W2024165284","https://openalex.org/W2053186076","https://openalex.org/W2061171222","https://openalex.org/W2065101902","https://openalex.org/W2081504597","https://openalex.org/W2097308346","https://openalex.org/W2101491865","https://openalex.org/W2101641981","https://openalex.org/W2108872752","https://openalex.org/W2111334029","https://openalex.org/W2112681514","https://openalex.org/W2118193919","https://openalex.org/W2123119012","https://openalex.org/W2128252562","https://openalex.org/W2136023375","https://openalex.org/W2139457438","https://openalex.org/W2140862024","https://openalex.org/W2156838815","https://openalex.org/W2158787690","https://openalex.org/W2165132717","https://openalex.org/W2172067437","https://openalex.org/W2478884216","https://openalex.org/W2490805901","https://openalex.org/W2534174629","https://openalex.org/W3004555699","https://openalex.org/W3100644252","https://openalex.org/W4235934856","https://openalex.org/W4239089288","https://openalex.org/W4302067267","https://openalex.org/W6607364252","https://openalex.org/W6677111876"],"related_works":["https://openalex.org/W44298237","https://openalex.org/W2350368352","https://openalex.org/W645596287","https://openalex.org/W4210925376","https://openalex.org/W4210376836","https://openalex.org/W3193411882","https://openalex.org/W3012304656","https://openalex.org/W3036842803","https://openalex.org/W3199633267","https://openalex.org/W2588528809"],"abstract_inverted_index":{"Analysis":[0],"and":[1,20,34,85,111,128,136,139,178,192],"processing":[2,75,83,91,149,191],"of":[3,50,114,123,165],"very":[4,115],"large":[5,48,116,169],"data":[6,16,41,51,68,94,100,117,170,190,199],"sets,":[7],"or":[8],"big":[9,40],"data,":[10],"poses":[11],"a":[12,64,157],"significant":[13],"challenge.":[14],"Massive":[15],"sets":[17,171],"are":[18],"collected":[19],"studied":[21],"in":[22,107,109],"numerous":[23],"domains,":[24],"from":[25,39,87,145],"engineering":[26],"sciences":[27],"to":[28,93,105,168,185,198],"social":[29],"networks,":[30],"biomolecular":[31],"research,":[32],"commerce,":[33],"security.":[35],"Extracting":[36],"valuable":[37],"information":[38],"requires":[42],"innovative":[43],"approaches":[44],"that":[45,160],"efficiently":[46],"process":[47],"amounts":[49],"as":[52,54,156],"well":[53],"handle":[55],"and,":[56],"moreover,":[57],"utilize":[58],"their":[59,143],"structure.":[60],"This":[61],"article":[62],"discusses":[63],"paradigm":[65],"for":[66,188],"large-scale":[67,189],"analysis":[69,101,113],"based":[70,175],"on":[71,77,176],"the":[72,88,146,163,182],"discrete":[73],"signal":[74,82,90,148],"(DSP)":[76],"graphs":[78,155],"(DSPG).":[79],"DSPG":[80,166],"extends":[81],"concepts":[84,122],"methodologies":[86],"classical":[89,147],"theory":[92],"indexed":[95],"by":[96],"general":[97],"graphs.":[98],"Big":[99],"presents":[102],"several":[103],"challenges":[104],"DSPG,":[106,124],"particular,":[108],"filtering":[110],"frequency":[112],"sets.":[118],"We":[119,151,180],"review":[120],"fundamental":[121],"including":[125],"graph":[126,129,131,134,158],"signals":[127],"filters,":[130],"Fourier":[132],"transform,":[133],"frequency,":[135],"spectrum":[137],"ordering,":[138],"compare":[140],"them":[141],"with":[142,195],"counterparts":[144],"theory.":[150],"then":[152],"consider":[153],"product":[154],"model":[159],"helps":[161],"extend":[162],"application":[164,197],"methods":[167,187],"through":[172],"efficient":[173],"implementation":[174],"parallelization":[177],"vectorization.":[179],"relate":[181],"presented":[183],"framework":[184],"existing":[186],"illustrate":[193],"it":[194],"an":[196],"compression.":[200]},"counts_by_year":[{"year":2026,"cited_by_count":12},{"year":2025,"cited_by_count":39},{"year":2024,"cited_by_count":56},{"year":2023,"cited_by_count":67},{"year":2022,"cited_by_count":63},{"year":2021,"cited_by_count":69},{"year":2020,"cited_by_count":84},{"year":2019,"cited_by_count":92},{"year":2018,"cited_by_count":95},{"year":2017,"cited_by_count":96},{"year":2016,"cited_by_count":77},{"year":2015,"cited_by_count":29},{"year":2014,"cited_by_count":2}],"updated_date":"2026-06-04T09:04:59.091469","created_date":"2025-10-10T00:00:00"}
