{"id":"https://openalex.org/W2951554414","doi":"https://doi.org/10.1145/3292500.3330856","title":"Adaptive Unsupervised Feature Selection on Attributed Networks","display_name":"Adaptive Unsupervised Feature Selection on Attributed Networks","publication_year":2019,"publication_date":"2019-07-25","ids":{"openalex":"https://openalex.org/W2951554414","doi":"https://doi.org/10.1145/3292500.3330856","mag":"2951554414"},"language":"en","primary_location":{"id":"doi:10.1145/3292500.3330856","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3292500.3330856","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3292500.3330856","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3292500.3330856","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5029588473","display_name":"Jundong Li","orcid":"https://orcid.org/0000-0002-1878-817X"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jundong Li","raw_affiliation_strings":["Arizona State University, Tempe, AZ, USA"],"affiliations":[{"raw_affiliation_string":"Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054719216","display_name":"Ruocheng Guo","orcid":"https://orcid.org/0000-0002-8522-6142"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ruocheng Guo","raw_affiliation_strings":["Arizona State University, Tempe, AZ, USA"],"affiliations":[{"raw_affiliation_string":"Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101721522","display_name":"Chenghao Liu","orcid":"https://orcid.org/0000-0002-6934-2354"},"institutions":[{"id":"https://openalex.org/I79891267","display_name":"Singapore Management University","ror":"https://ror.org/050qmg959","country_code":"SG","type":"education","lineage":["https://openalex.org/I79891267"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Chenghao Liu","raw_affiliation_strings":["Singapore Management University, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Singapore Management University, Singapore, Singapore","institution_ids":["https://openalex.org/I79891267"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100338921","display_name":"Huan Liu","orcid":"https://orcid.org/0000-0002-0253-647X"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Huan Liu","raw_affiliation_strings":["Arizona State University, Tempe, AZ, USA"],"affiliations":[{"raw_affiliation_string":"Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5029588473"],"corresponding_institution_ids":["https://openalex.org/I55732556"],"apc_list":null,"apc_paid":null,"fwci":6.7676,"has_fulltext":true,"cited_by_count":59,"citation_normalized_percentile":{"value":0.97614067,"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":"92","last_page":"100"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9998000264167786,"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/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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9781000018119812,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7496281266212463},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.7053719758987427},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6205108761787415},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.5534984469413757},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.53104168176651},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5249378681182861},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.48729407787323},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.48393183946609497},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4801051914691925},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.4732376039028168},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46736642718315125},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4652671813964844},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.44311511516571045},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3247450590133667},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.09721583127975464},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09048721194267273}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7496281266212463},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7053719758987427},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6205108761787415},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.5534984469413757},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.53104168176651},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5249378681182861},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48729407787323},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.48393183946609497},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4801051914691925},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.4732376039028168},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46736642718315125},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4652671813964844},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.44311511516571045},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3247450590133667},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.09721583127975464},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09048721194267273},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3292500.3330856","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3292500.3330856","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3292500.3330856","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3292500.3330856","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3292500.3330856","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3292500.3330856","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8298882864","display_name":null,"funder_award_id":"1614576","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2951554414.pdf","grobid_xml":"https://content.openalex.org/works/W2951554414.grobid-xml"},"referenced_works_count":53,"referenced_works":["https://openalex.org/W120692785","https://openalex.org/W141062567","https://openalex.org/W1576278180","https://openalex.org/W1774848501","https://openalex.org/W1888005072","https://openalex.org/W1998029376","https://openalex.org/W2009501510","https://openalex.org/W2020652789","https://openalex.org/W2025158524","https://openalex.org/W2025266141","https://openalex.org/W2025568499","https://openalex.org/W2052261215","https://openalex.org/W2073161435","https://openalex.org/W2099111195","https://openalex.org/W2107569009","https://openalex.org/W2109469951","https://openalex.org/W2123838014","https://openalex.org/W2124142520","https://openalex.org/W2128873747","https://openalex.org/W2134563198","https://openalex.org/W2149620660","https://openalex.org/W2153959628","https://openalex.org/W2158933803","https://openalex.org/W2166293769","https://openalex.org/W2170413097","https://openalex.org/W2189508540","https://openalex.org/W2242161203","https://openalex.org/W2296319761","https://openalex.org/W2398336627","https://openalex.org/W2399927549","https://openalex.org/W2401507109","https://openalex.org/W2408567027","https://openalex.org/W2478708596","https://openalex.org/W2507561135","https://openalex.org/W2549570036","https://openalex.org/W2564737579","https://openalex.org/W2583803680","https://openalex.org/W2623187518","https://openalex.org/W2623447776","https://openalex.org/W2740813652","https://openalex.org/W2759445433","https://openalex.org/W2782914678","https://openalex.org/W2911681169","https://openalex.org/W2950133940","https://openalex.org/W2951650375","https://openalex.org/W3097993951","https://openalex.org/W3103254545","https://openalex.org/W3105705953","https://openalex.org/W4240768087","https://openalex.org/W4285719527","https://openalex.org/W4289236186","https://openalex.org/W4300906944","https://openalex.org/W4301932382"],"related_works":["https://openalex.org/W1995622179","https://openalex.org/W1484111231","https://openalex.org/W1552543208","https://openalex.org/W2074396517","https://openalex.org/W2166963679","https://openalex.org/W2187269125","https://openalex.org/W20047544","https://openalex.org/W1641615907","https://openalex.org/W3089231081","https://openalex.org/W2093956241"],"abstract_inverted_index":{"Attributed":[0],"networks":[1,14,230],"are":[2,20,30,43,51,66],"pervasive":[3],"in":[4,45,152],"numerous":[5],"of":[6,61,76,105,124,173,207,234],"high-impact":[7],"domains.":[8],"As":[9],"opposed":[10],"to":[11,55,58,68,86,90,100,131,144,158,169,187,195],"conventional":[12],"plain":[13],"where":[15],"only":[16],"pairwise":[17],"node":[18,27],"dependencies":[19],"observed,":[21],"both":[22],"the":[23,40,59,69,74,101,106,111,125,133,149,160,166,171,197,203,208,216,232,235],"network":[24,70,102,112,167],"topology":[25],"and":[26,50,141,200],"attribute":[28],"information":[29,137,163],"readily":[31],"available":[32],"on":[33,165,226],"attributed":[34,80,229],"networks.":[35,81],"More":[36],"often":[37],"than":[38],"not,":[39],"nodal":[41,175],"attributes":[42],"depicted":[44],"a":[46,92,115,180],"high-dimensional":[47],"feature":[48,88,94,139,183],"space":[49],"therefore":[52],"notoriously":[53],"difficult":[54],"tackle":[56],"due":[57],"curse":[60],"dimensionality.":[62],"Additionally,":[63],"features":[64,190],"that":[65,96,191],"irrelevant":[67],"structure":[71,113,168,206],"could":[72],"hinder":[73],"discovery":[75],"actionable":[77],"patterns":[78],"from":[79],"Hence,":[82],"it":[83],"is":[84,97,220],"important":[85],"leverage":[87],"selection":[89,140,172,184],"find":[91,188],"high-quality":[93],"subset":[95],"tightly":[98],"correlated":[99],"structure.":[103],"Few":[104],"existing":[107],"efforts":[108],"either":[109],"model":[110],"at":[114],"macro-level":[116],"by":[117,148],"community":[118],"analysis":[119],"or":[120],"directly":[121],"make":[122],"use":[123],"binary":[126],"relations.":[127],"Consequently,":[128],"they":[129],"fail":[130],"exploit":[132],"finer-grained":[134],"tie":[135,161],"strength":[136,162],"for":[138,215],"may":[142],"lead":[143],"suboptimal":[145],"results.":[146],"Motivated":[147],"sociology":[150],"findings,":[151],"this":[153],"work,":[154],"we":[155,178],"investigate":[156],"how":[157],"harness":[159],"embedded":[164],"facilitate":[170],"relevant":[174],"attributes.":[176],"Methodologically,":[177],"propose":[179],"principled":[181],"unsupervised":[182],"framework":[185,219],"ADAPT":[186,218,237],"informative":[189],"can":[192],"be":[193],"used":[194],"regenerate":[196],"observed":[198],"links":[199],"further":[201],"characterize":[202],"adaptive":[204],"neighborhood":[205],"network.":[209],"Meanwhile,":[210],"an":[211],"effective":[212],"optimization":[213],"algorithm":[214],"proposed":[217,236],"also":[221],"presented.":[222],"Extensive":[223],"experimental":[224],"studies":[225],"various":[227],"real-world":[228],"validate":[231],"superiority":[233],"framework.":[238]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":30},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}