{"id":"https://openalex.org/W3013958775","doi":"https://doi.org/10.1109/ieeeconf44664.2019.9048767","title":"Convolutional Graph Neural Networks","display_name":"Convolutional Graph Neural Networks","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3013958775","doi":"https://doi.org/10.1109/ieeeconf44664.2019.9048767","mag":"3013958775"},"language":"en","primary_location":{"id":"doi:10.1109/ieeeconf44664.2019.9048767","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf44664.2019.9048767","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 53rd Asilomar Conference on Signals, Systems, and Computers","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/A5069506165","display_name":"Fernando Gama","orcid":"https://orcid.org/0000-0001-6117-8193"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Fernando Gama","raw_affiliation_strings":["Dept. of Electrical and Systems Eng., University of Pennsylvania, Philadelphia, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Systems Eng., University of Pennsylvania, Philadelphia, USA","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054312245","display_name":"Antonio G. Marqu\u00e9s","orcid":"https://orcid.org/0000-0002-4642-7718"},"institutions":[{"id":"https://openalex.org/I182083151","display_name":"Universidad Rey Juan Carlos","ror":"https://ror.org/01v5cv687","country_code":"ES","type":"education","lineage":["https://openalex.org/I182083151"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Antonio G. Marques","raw_affiliation_strings":["Dept. of Signal Theory and Comms., King Juan Carlos Univ., Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"Dept. of Signal Theory and Comms., King Juan Carlos Univ., Madrid, Spain","institution_ids":["https://openalex.org/I182083151"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089101522","display_name":"Geert Leus","orcid":"https://orcid.org/0000-0001-8288-867X"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Geert Leus","raw_affiliation_strings":["Circuits and Systems Group, Delft Univ. of Technology, Delft, the Netherlands"],"affiliations":[{"raw_affiliation_string":"Circuits and Systems Group, Delft Univ. of Technology, Delft, the Netherlands","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078862959","display_name":"Alejandro Ribeiro","orcid":"https://orcid.org/0000-0003-4230-9906"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alejandro Ribeiro","raw_affiliation_strings":["Dept. of Electrical and Systems Eng., University of Pennsylvania, Philadelphia, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Systems Eng., University of Pennsylvania, Philadelphia, USA","institution_ids":["https://openalex.org/I79576946"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5069506165"],"corresponding_institution_ids":["https://openalex.org/I79576946"],"apc_list":null,"apc_paid":null,"fwci":1.1562,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.84990307,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"452","last_page":"456"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9998999834060669,"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":0.9998999834060669,"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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.9764000177383423,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T10028","display_name":"Topic Modeling","score":0.9749000072479248,"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/pointwise","display_name":"Pointwise","score":0.6744875907897949},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6719876527786255},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6573337316513062},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.633926510810852},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6196780800819397},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5294508337974548},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5239139795303345},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.46659234166145325},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41354700922966003},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4098037779331207},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4055069088935852},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3974107503890991},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26031067967414856},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.18246078491210938}],"concepts":[{"id":"https://openalex.org/C2777984123","wikidata":"https://www.wikidata.org/wiki/Q9248237","display_name":"Pointwise","level":2,"score":0.6744875907897949},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6719876527786255},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6573337316513062},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.633926510810852},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6196780800819397},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5294508337974548},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5239139795303345},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.46659234166145325},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41354700922966003},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4098037779331207},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4055069088935852},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3974107503890991},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26031067967414856},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.18246078491210938},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ieeeconf44664.2019.9048767","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf44664.2019.9048767","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 53rd Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"},{"id":"pmh:oai:tudelft.nl:uuid:0f233b9e-6322-4b2a-8711-433a2966d02c","is_oa":false,"landing_page_url":"http://resolver.tudelft.nl/uuid:0f233b9e-6322-4b2a-8711-433a2966d02c","pdf_url":null,"source":{"id":"https://openalex.org/S4306400906","display_name":"Research Repository (Delft University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98358874","host_organization_name":"Delft University of Technology","host_organization_lineage":["https://openalex.org/I98358874"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W391985582","https://openalex.org/W1522301498","https://openalex.org/W1690143098","https://openalex.org/W2161763921","https://openalex.org/W2219888463","https://openalex.org/W2465015709","https://openalex.org/W2796431263","https://openalex.org/W2798598284","https://openalex.org/W2885647718","https://openalex.org/W2887854557","https://openalex.org/W2919115771","https://openalex.org/W2962711740","https://openalex.org/W2963674505","https://openalex.org/W2963858333","https://openalex.org/W2963969974","https://openalex.org/W2963984147","https://openalex.org/W2964015378","https://openalex.org/W2964121744","https://openalex.org/W2964311892","https://openalex.org/W2964321699","https://openalex.org/W2986508977","https://openalex.org/W2990385600","https://openalex.org/W4212863985","https://openalex.org/W4297733535","https://openalex.org/W6631190155","https://openalex.org/W6719270105","https://openalex.org/W6720006811","https://openalex.org/W6726873649","https://openalex.org/W6754119459","https://openalex.org/W6754929296","https://openalex.org/W6770615353"],"related_works":["https://openalex.org/W2140020064","https://openalex.org/W143502885","https://openalex.org/W42113618","https://openalex.org/W2103468410","https://openalex.org/W1856228368","https://openalex.org/W3197542402","https://openalex.org/W4361003569","https://openalex.org/W2981421796","https://openalex.org/W2964954556","https://openalex.org/W3019910406"],"abstract_inverted_index":{"Convolutional":[0],"neural":[1,11,102],"networks":[2,12,103],"(CNNs)":[3],"restrict":[4],"the,":[5],"otherwise":[6],"arbitrary,":[7],"linear":[8,148,165],"operation":[9],"of":[10,20,38,45,90,150,167,170,174,190,215],"to":[13,72,85,98,133,194,199,207],"be":[14,79,96,115],"a":[15,18,59,69,82,119],"convolution":[16,113],"with":[17,126,157],"bank":[19],"learned":[21],"filters.":[22],"This":[23],"makes":[24,48],"them":[25,49],"suitable":[26],"for":[27,51,217],"learning":[28],"tasks":[29],"based":[30],"on":[31,147,164,184],"data":[32,53],"that":[33,54,110],"exhibit":[34,57],"the":[35,88,111,177,185],"regular":[36,60,195],"structure":[37,77],"time":[39,200],"signals":[40,74,201],"and":[41,140,219],"images.":[42],"The":[43,143,160],"use":[44],"convolutions,":[46],"however,":[47],"unsuitable":[50],"processing":[52,64],"do":[55],"not":[56],"such":[58],"structure.":[61],"Graph":[62],"signal":[63,151],"(GSP)":[65],"has":[66],"emerged":[67],"as":[68,117],"powerful":[70],"alternative":[71],"process":[73],"whose":[75],"irregular":[76],"can":[78,95,114],"described":[80],"by":[81],"graph.":[83],"Central":[84],"GSP":[86],"is":[87,182],"notion":[89],"graph":[91,101,112],"convolutional":[92,100],"filters":[93],"which":[94,136],"used":[97],"define":[99],"(GNNs).":[104],"In":[105],"this":[106],"paper,":[107],"we":[108,137],"show":[109,212],"interpreted":[116],"either":[118],"diffusion":[120],"or":[121],"aggregation":[122,141,161,180,187,220],"operation.":[123],"When":[124],"combined":[125,156],"nonlinear":[127],"processing,":[128],"these":[129,191],"different":[130,134,154,171,186,204,213],"interpretations":[131],"lead":[132],"generalizations":[135],"term":[138],"selection":[139,144,218],"GNNs.":[142,221],"GNN":[145,162],"relies":[146,163],"combinations":[149,166],"diffusions":[152],"at":[153],"resolutions":[155],"node-wise":[158,175],"non-linearities.":[159],"neighborhood":[168],"averages":[169],"depth.":[172],"Instead":[173],"nonlinearities,":[176],"nonlinearity":[178],"in":[179],"GNNs":[181],"pointwise":[183],"levels.":[188],"Both":[189],"models":[192],"particularize":[193],"CNNs":[196],"when":[197,205],"applied":[198,206],"but":[202],"are":[203],"arbitrary":[208],"graphs.":[209],"Numerical":[210],"evaluations":[211],"levels":[214],"performance":[216]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-10-10T00:00:00"}
