{"id":"https://openalex.org/W2480368286","doi":"https://doi.org/10.1145/2898358","title":"Leveraging Neighbor Attributes for Classification in Sparsely Labeled Networks","display_name":"Leveraging Neighbor Attributes for Classification in Sparsely Labeled Networks","publication_year":2016,"publication_date":"2016-07-20","ids":{"openalex":"https://openalex.org/W2480368286","doi":"https://doi.org/10.1145/2898358","mag":"2480368286"},"language":"en","primary_location":{"id":"doi:10.1145/2898358","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2898358","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","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/A5084685300","display_name":"Luke K. McDowell","orcid":null},"institutions":[{"id":"https://openalex.org/I189158971","display_name":"United States Naval Academy","ror":"https://ror.org/00znex860","country_code":"US","type":"education","lineage":["https://openalex.org/I1330347796","https://openalex.org/I189158971","https://openalex.org/I3130687028"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Luke K. McDowell","raw_affiliation_strings":["U.S. Naval Academy, Annapolis, MD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"U.S. Naval Academy, Annapolis, MD","institution_ids":["https://openalex.org/I189158971"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063806691","display_name":"David W. Aha","orcid":null},"institutions":[{"id":"https://openalex.org/I1288214837","display_name":"United States Naval Research Laboratory","ror":"https://ror.org/04d23a975","country_code":"US","type":"facility","lineage":["https://openalex.org/I1288214837","https://openalex.org/I1330347796","https://openalex.org/I175003984","https://openalex.org/I3130687028"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David W. Aha","raw_affiliation_strings":["Naval Research Laboratory, Washington, DC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Naval Research Laboratory, Washington, DC","institution_ids":["https://openalex.org/I1288214837"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8662,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.83778582,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"11","issue":"1","first_page":"1","last_page":"37"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9911999702453613,"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":0.9911999702453613,"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":0.9797000288963318,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9785000085830688,"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":0.7377468347549438},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7212867736816406},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6666809320449829},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6169547438621521},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.5668506622314453},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5488525032997131},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5072826743125916}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7377468347549438},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7212867736816406},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6666809320449829},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6169547438621521},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.5668506622314453},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5488525032997131},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5072826743125916}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2898358","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2898358","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5099999904632568,"id":"https://metadata.un.org/sdg/1","display_name":"No poverty"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":89,"referenced_works":["https://openalex.org/W28766783","https://openalex.org/W34646664","https://openalex.org/W37898738","https://openalex.org/W67413104","https://openalex.org/W131956760","https://openalex.org/W337654240","https://openalex.org/W1479807131","https://openalex.org/W1490768968","https://openalex.org/W1554544485","https://openalex.org/W1589355053","https://openalex.org/W1630959083","https://openalex.org/W1666347389","https://openalex.org/W1800493452","https://openalex.org/W1805785060","https://openalex.org/W1908728294","https://openalex.org/W1912982817","https://openalex.org/W1964731129","https://openalex.org/W1965417459","https://openalex.org/W1969198379","https://openalex.org/W1972748503","https://openalex.org/W1976743651","https://openalex.org/W1977970897","https://openalex.org/W1979584682","https://openalex.org/W1981467090","https://openalex.org/W1986834574","https://openalex.org/W1987810983","https://openalex.org/W1996919757","https://openalex.org/W1997945384","https://openalex.org/W2010705340","https://openalex.org/W2020652789","https://openalex.org/W2024646877","https://openalex.org/W2028137574","https://openalex.org/W2037933327","https://openalex.org/W2045012549","https://openalex.org/W2046253692","https://openalex.org/W2048324994","https://openalex.org/W2049633694","https://openalex.org/W2073415627","https://openalex.org/W2076008912","https://openalex.org/W2087743293","https://openalex.org/W2097703723","https://openalex.org/W2099352187","https://openalex.org/W2100045227","https://openalex.org/W2100527889","https://openalex.org/W2101705355","https://openalex.org/W2102848467","https://openalex.org/W2104246902","https://openalex.org/W2104290444","https://openalex.org/W2118932399","https://openalex.org/W2121075864","https://openalex.org/W2121250409","https://openalex.org/W2123562225","https://openalex.org/W2123827533","https://openalex.org/W2134092622","https://openalex.org/W2135863341","https://openalex.org/W2136693028","https://openalex.org/W2137253512","https://openalex.org/W2139823104","https://openalex.org/W2143387805","https://openalex.org/W2148534792","https://openalex.org/W2148603752","https://openalex.org/W2148847267","https://openalex.org/W2153959628","https://openalex.org/W2154455818","https://openalex.org/W2158157756","https://openalex.org/W2158535911","https://openalex.org/W2160840604","https://openalex.org/W2163776610","https://openalex.org/W2165472456","https://openalex.org/W2165599051","https://openalex.org/W2166036954","https://openalex.org/W2168627253","https://openalex.org/W2169992051","https://openalex.org/W2185268784","https://openalex.org/W2185959519","https://openalex.org/W2187582551","https://openalex.org/W2216964862","https://openalex.org/W2403422166","https://openalex.org/W2407873558","https://openalex.org/W2560674852","https://openalex.org/W2604653582","https://openalex.org/W2605441573","https://openalex.org/W2615497679","https://openalex.org/W2739091281","https://openalex.org/W2810868754","https://openalex.org/W2952900479","https://openalex.org/W2962735828","https://openalex.org/W2997701990","https://openalex.org/W3104955266"],"related_works":["https://openalex.org/W2055243143","https://openalex.org/W2787993192","https://openalex.org/W2158269427","https://openalex.org/W4381280689","https://openalex.org/W3033859939","https://openalex.org/W2847365777","https://openalex.org/W4321636575","https://openalex.org/W2357796999","https://openalex.org/W2045526782","https://openalex.org/W4379251913"],"abstract_inverted_index":{"Many":[0],"analysis":[1],"tasks":[2],"involve":[3],"linked":[4],"nodes,":[5],"such":[6,30],"as":[7],"people":[8],"connected":[9],"by":[10,94],"friendship":[11],"links.":[12],"Research":[13],"on":[14],"link-based":[15],"classification":[16,27],"(LBC)":[17],"has":[18,33],"studied":[19],"how":[20,116],"to":[21,25,102,135],"leverage":[22],"these":[23],"connections":[24],"improve":[26],"accuracy.":[28,74,123],"Most":[29],"prior":[31],"research":[32],"assumed":[34],"the":[35,47,137,145,162,170,187,191],"provision":[36],"of":[37,147,154,164,172,193],"a":[38,56,66,81,152],"densely":[39],"labeled":[40,59],"training":[41],"network.":[42],"Instead,":[43],"this":[44,77,141],"article":[45],"studies":[46,180,185],"common":[48],"and":[49,64,112,143,157,169,196],"challenging":[50],"case":[51,67],"when":[52],"LBC":[53,96,168],"must":[54,181],"use":[55],"single":[57],"sparsely":[58],"network":[60],"for":[61,167,198],"both":[62,109],"learning":[63,131],"inference,":[65],"where":[68],"existing":[69],"methods":[70],"often":[71,120],"yield":[72],"poor":[73],"To":[75],"address":[76],"challenge,":[78],"we":[79,175],"introduce":[80],"novel":[82],"method":[83],"that":[84,127,144,177],"enables":[85],"prediction":[86],"via":[87],"\u201cneighbor":[88],"attributes,\u201d":[89],"which":[90],"were":[91],"briefly":[92],"considered":[93],"early":[95],"work":[97],"but":[98],"then":[99,106],"abandoned":[100],"due":[101],"perceived":[103],"problems.":[104],"We":[105,124],"explain,":[107],"using":[108,117,128],"extensive":[110],"experiments":[111],"loss":[113],"decomposition":[114],"analysis,":[115],"neighbor":[118,148,173],"attributes":[119,149],"significantly":[121],"improves":[122],"further":[125],"show":[126,176],"appropriate":[129],"semi-supervised":[130],"(SSL)":[132],"is":[133],"essential":[134],"obtaining":[136],"best":[138,188],"accuracy":[139],"in":[140],"domain":[142],"gains":[146],"remain":[150],"across":[151],"range":[153],"SSL":[155],"choices":[156],"data":[158],"conditions.":[159],"Finally,":[160],"given":[161],"challenges":[163],"label":[165],"sparsity":[166],"impact":[171,192],"attributes,":[174,195],"multiple":[178],"previous":[179],"be":[182],"re-considered,":[183],"including":[184],"regarding":[186],"model":[189],"features,":[190],"noisy":[194],"strategies":[197],"active":[199],"learning.":[200]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}