{"id":"https://openalex.org/W2951652447","doi":"https://doi.org/10.1609/aaai.v33i01.3301606","title":"Multi-GCN: Graph Convolutional Networks for Multi-View Networks, with Applications to Global Poverty","display_name":"Multi-GCN: Graph Convolutional Networks for Multi-View Networks, with Applications to Global Poverty","publication_year":2019,"publication_date":"2019-07-17","ids":{"openalex":"https://openalex.org/W2951652447","doi":"https://doi.org/10.1609/aaai.v33i01.3301606","mag":"2951652447"},"language":"en","primary_location":{"id":"pmh:oai:ojs.aaai.org:article/3836","is_oa":true,"landing_page_url":"https://ojs.aaai.org/index.php/AAAI/article/view/3836","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/3836/3714","source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2159-5399","raw_type":"info:eu-repo/semantics/article"},"type":"article","indexed_in":[],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/3836/3714","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100549363","display_name":"Muhammad Raza Khan","orcid":null},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Khan, Muhammad Raza","raw_affiliation_strings":["University of California, Berkeley"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Berkeley","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054622320","display_name":"Joshua Blumenstock","orcid":"https://orcid.org/0000-0002-1813-7414"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Blumenstock, Joshua E.","raw_affiliation_strings":["University of California, Berkeley"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Berkeley","institution_ids":["https://openalex.org/I95457486"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I95457486"],"apc_list":null,"apc_paid":null,"fwci":13.2879,"has_fulltext":true,"cited_by_count":71,"citation_normalized_percentile":{"value":0.98731195,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10557","display_name":"Social Media and Politics","score":0.9670000076293945,"subfield":{"id":"https://openalex.org/subfields/3315","display_name":"Communication"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10557","display_name":"Social Media and Politics","score":0.9670000076293945,"subfield":{"id":"https://openalex.org/subfields/3315","display_name":"Communication"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10737","display_name":"Health Literacy and Information Accessibility","score":0.9431999921798706,"subfield":{"id":"https://openalex.org/subfields/3600","display_name":"General Health Professions"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9125999808311462,"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/computer-science","display_name":"Computer science","score":0.7977045774459839},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5769056081771851},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5467844605445862},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5397881269454956},{"id":"https://openalex.org/keywords/mobile-phone","display_name":"Mobile phone","score":0.4735616445541382},{"id":"https://openalex.org/keywords/poverty","display_name":"Poverty","score":0.4356027841567993},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.403984934091568},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.32817548513412476}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7977045774459839},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5769056081771851},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5467844605445862},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5397881269454956},{"id":"https://openalex.org/C2777421447","wikidata":"https://www.wikidata.org/wiki/Q17517","display_name":"Mobile phone","level":2,"score":0.4735616445541382},{"id":"https://openalex.org/C189326681","wikidata":"https://www.wikidata.org/wiki/Q10294","display_name":"Poverty","level":2,"score":0.4356027841567993},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.403984934091568},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.32817548513412476},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:ojs.aaai.org:article/3836","is_oa":true,"landing_page_url":"https://ojs.aaai.org/index.php/AAAI/article/view/3836","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/3836/3714","source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2159-5399","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:ojs.aaai.org:article/3836","is_oa":true,"landing_page_url":"https://ojs.aaai.org/index.php/AAAI/article/view/3836","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/3836/3714","source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2159-5399","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[{"score":0.5199999809265137,"display_name":"No poverty","id":"https://metadata.un.org/sdg/1"}],"awards":[{"id":"https://openalex.org/G2290431633","display_name":null,"funder_award_id":"N00014-17-1-2313","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G4504108201","display_name":null,"funder_award_id":"N00014-17-1","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G6028359462","display_name":"AitF: Spectral Methods in the Field: New Tools for Discovering Latent Structure in Societal-Scale Data","funder_award_id":"1637360","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8876996369","display_name":null,"funder_award_id":"N00014","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2951652447.pdf","grobid_xml":"https://content.openalex.org/works/W2951652447.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W341756596","https://openalex.org/W1522301498","https://openalex.org/W1662382123","https://openalex.org/W1670132599","https://openalex.org/W1888005072","https://openalex.org/W1976040640","https://openalex.org/W2026731079","https://openalex.org/W2099352442","https://openalex.org/W2131791003","https://openalex.org/W2132914434","https://openalex.org/W2136504847","https://openalex.org/W2154455818","https://openalex.org/W2154851992","https://openalex.org/W2162301084","https://openalex.org/W2167102709","https://openalex.org/W2173315138","https://openalex.org/W2217182667","https://openalex.org/W2513506629","https://openalex.org/W2740063619","https://openalex.org/W2777618157","https://openalex.org/W2963312446","https://openalex.org/W2964015378","https://openalex.org/W2964321699","https://openalex.org/W4244923699","https://openalex.org/W4256064729","https://openalex.org/W4294170691","https://openalex.org/W4297571622"],"related_works":["https://openalex.org/W2106092715","https://openalex.org/W616632114","https://openalex.org/W2379461907","https://openalex.org/W331143443","https://openalex.org/W4214505880","https://openalex.org/W2348994942","https://openalex.org/W93581272","https://openalex.org/W4285308928","https://openalex.org/W2378710205","https://openalex.org/W1535544643"],"abstract_inverted_index":{"With":[0],"the":[1,20,41,57,128],"rapid":[2],"expansion":[3],"of":[4,22,44,60,138],"mobile":[5,108],"phone":[6,109],"networks":[7],"in":[8,19,50,66,125,147],"developing":[9,114],"countries,":[10],"large-scale":[11],"graph":[12,71],"machine":[13],"learning":[14,72,88,100,139],"has":[15],"gained":[16],"sudden":[17],"relevance":[18],"study":[21],"global":[23],"poverty.":[24],"Recent":[25],"applications":[26,52],"range":[27],"from":[28,111],"humanitarian":[29],"response":[30],"and":[31,37,47],"poverty":[32,126],"estimation":[33],"to":[34],"urban":[35],"planning":[36],"epidemic":[38],"containment.":[39],"Yet":[40],"vast":[42],"majority":[43],"computational":[45],"tools":[46],"algorithms":[48,101],"used":[49],"these":[51],"do":[53],"not":[54],"account":[55],"for":[56,87,123],"multi-view":[58,90,142],"nature":[59],"social":[61],"networks:":[62],"people":[63],"are":[64],"related":[65],"myriad":[67],"ways,":[68],"but":[69],"most":[70],"models":[73],"treat":[74],"relations":[75],"as":[76],"binary.":[77],"In":[78],"this":[79,95],"paper,":[80],"we":[81],"develop":[82],"a":[83,135],"graph-based":[84],"convolutional":[85],"network":[86],"on":[89,102,134,141],"networks.":[91,149],"We":[92,116],"show":[93,118],"that":[94],"method":[96],"outperforms":[97,131],"state-of-the-art":[98],"semi-supervised":[99],"three":[103,112],"different":[104,113],"prediction":[105],"tasks":[106,140],"using":[107],"datasets":[110],"countries.":[115],"also":[117,130],"that,":[119],"while":[120],"designed":[121],"specifically":[122],"use":[124],"research,":[127],"algorithm":[129],"existing":[132],"benchmarks":[133],"broader":[136],"set":[137],"networks,":[143],"including":[144],"node":[145],"labelling":[146],"citation":[148]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-02T06:12:58.138171","created_date":"2025-10-10T00:00:00"}