{"id":"https://openalex.org/W4392908935","doi":"https://doi.org/10.1109/icassp48485.2024.10447223","title":"Recovering Missing Node Features with Local Structure-Based Embeddings","display_name":"Recovering Missing Node Features with Local Structure-Based Embeddings","publication_year":2024,"publication_date":"2024-03-18","ids":{"openalex":"https://openalex.org/W4392908935","doi":"https://doi.org/10.1109/icassp48485.2024.10447223"},"language":"en","primary_location":{"id":"doi:10.1109/icassp48485.2024.10447223","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10447223","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5075337854","display_name":"V\u00edctor M. Tenorio","orcid":"https://orcid.org/0000-0002-0079-7326"},"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":"Victor M. Tenorio","raw_affiliation_strings":["King Juan Carlos University,Dept. of Signal Theory and Communications,Madrid,Spain","Dept. of Signal Theory and Communications, King Juan Carlos University, Madrid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"King Juan Carlos University,Dept. of Signal Theory and Communications,Madrid,Spain","institution_ids":["https://openalex.org/I182083151"]},{"raw_affiliation_string":"Dept. of Signal Theory and Communications, King Juan Carlos University, Madrid, Spain","institution_ids":["https://openalex.org/I182083151"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081211458","display_name":"Madeline Navarro","orcid":"https://orcid.org/0000-0002-3749-8856"},"institutions":[{"id":"https://openalex.org/I74775410","display_name":"Rice University","ror":"https://ror.org/008zs3103","country_code":"US","type":"education","lineage":["https://openalex.org/I74775410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Madeline Navarro","raw_affiliation_strings":["Rice University,Dept. of Electrical and Computer Engineering,Houston,USA","Dept. of Electrical and Computer Engineering, Rice University, Houston, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rice University,Dept. of Electrical and Computer Engineering,Houston,USA","institution_ids":["https://openalex.org/I74775410"]},{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, Rice University, Houston, USA","institution_ids":["https://openalex.org/I74775410"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012007074","display_name":"Santiago Segarra","orcid":"https://orcid.org/0000-0002-8408-9633"},"institutions":[{"id":"https://openalex.org/I74775410","display_name":"Rice University","ror":"https://ror.org/008zs3103","country_code":"US","type":"education","lineage":["https://openalex.org/I74775410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Santiago Segarra","raw_affiliation_strings":["Rice University,Dept. of Electrical and Computer Engineering,Houston,USA","Dept. of Electrical and Computer Engineering, Rice University, Houston, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rice University,Dept. of Electrical and Computer Engineering,Houston,USA","institution_ids":["https://openalex.org/I74775410"]},{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, Rice University, Houston, USA","institution_ids":["https://openalex.org/I74775410"]}]},{"author_position":"last","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":["King Juan Carlos University,Dept. of Signal Theory and Communications,Madrid,Spain","Dept. of Signal Theory and Communications, King Juan Carlos University, Madrid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"King Juan Carlos University,Dept. of Signal Theory and Communications,Madrid,Spain","institution_ids":["https://openalex.org/I182083151"]},{"raw_affiliation_string":"Dept. of Signal Theory and Communications, King Juan Carlos University, Madrid, Spain","institution_ids":["https://openalex.org/I182083151"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6131,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.64940666,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"9931","last_page":"9935"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.7009000182151794,"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"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.7009000182151794,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.6689000129699707,"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/T10057","display_name":"Face and Expression Recognition","score":0.5831000208854675,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6538732051849365},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5865741968154907},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4558599591255188},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32876428961753845},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0661078691482544}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6538732051849365},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5865741968154907},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4558599591255188},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32876428961753845},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0661078691482544},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp48485.2024.10447223","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp48485.2024.10447223","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.5299999713897705,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320313831","display_name":"Comunidad de Madrid","ror":null},{"id":"https://openalex.org/F4320316514","display_name":"Arm","ror":"https://ror.org/04mmhzs81"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W2154851992","https://openalex.org/W2161763921","https://openalex.org/W2404087539","https://openalex.org/W2591711955","https://openalex.org/W2612872092","https://openalex.org/W2758859316","https://openalex.org/W2899886700","https://openalex.org/W2943501111","https://openalex.org/W2963224980","https://openalex.org/W2964113829","https://openalex.org/W3005187920","https://openalex.org/W3089323170","https://openalex.org/W3092835783","https://openalex.org/W3094003325","https://openalex.org/W3094678421","https://openalex.org/W3100078588","https://openalex.org/W3104097132","https://openalex.org/W3126138172","https://openalex.org/W3171297959","https://openalex.org/W3187220393","https://openalex.org/W4306317025","https://openalex.org/W4308288307","https://openalex.org/W4312076730","https://openalex.org/W4375869310","https://openalex.org/W4390692039","https://openalex.org/W4391382293","https://openalex.org/W6685350579","https://openalex.org/W6726873649","https://openalex.org/W6736685754","https://openalex.org/W6754929296","https://openalex.org/W6755821303","https://openalex.org/W6763057493","https://openalex.org/W6776488958","https://openalex.org/W6780444311","https://openalex.org/W6784776072","https://openalex.org/W6785001774","https://openalex.org/W6804318920","https://openalex.org/W6810055804"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Node":[0],"features":[1,31,74,88,148],"bolster":[2],"graph-based":[3,153],"learning":[4],"when":[5],"exploited":[6],"jointly":[7],"with":[8],"network":[9],"structure.":[10,79],"However,":[11],"a":[12,24,33,44,98,111],"lack":[13],"of":[14,35,43,46,66,121],"nodal":[15,59,81],"attributes":[16],"is":[17,95],"prevalent":[18],"in":[19,152],"graph":[20,55,78,132,150],"data.":[21],"We":[22,61,114],"present":[23],"framework":[25,68],"to":[26,142],"recover":[27],"completely":[28],"missing":[29],"node":[30,73,99,147],"for":[32,130],"set":[34],"graphs,":[36],"where":[37,69],"we":[38,70,108],"only":[39,118],"know":[40],"the":[41,90,119,140,144],"signals":[42],"subset":[45],"graphs.":[47],"Our":[48,134],"approach":[49,125],"incorporates":[50],"prior":[51],"information":[52],"from":[53,89],"both":[54],"topology":[56],"and":[57,138,149],"existing":[58],"values.":[60],"demonstrate":[62],"an":[63],"example":[64],"implementation":[65],"our":[67,122],"assume":[71],"that":[72,102],"depend":[75],"on":[76,137],"local":[77,104],"Missing":[80],"values":[82],"are":[83],"estimated":[84],"by":[85],"aggregating":[86],"known":[87],"most":[91],"similar":[92],"nodes.":[93],"Similarity":[94],"measured":[96],"through":[97],"embedding":[100],"space":[101],"preserves":[103],"topological":[105],"features,":[106],"which":[107],"train":[109],"using":[110],"Graph":[112],"AutoEncoder.":[113],"empirically":[115],"show":[116],"not":[117],"accuracy":[120],"feature":[123],"estimation":[124],"but":[126],"also":[127],"its":[128],"value":[129],"downstream":[131],"classification.":[133],"success":[135],"embarks":[136],"implies":[139],"need":[141],"emphasize":[143],"relationship":[145],"between":[146],"structure":[151],"learning.":[154]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
