{"id":"https://openalex.org/W4386596840","doi":"https://doi.org/10.1109/icip49359.2023.10222635","title":"Task-Aware Graph Convolutional Network for Active Learning","display_name":"Task-Aware Graph Convolutional Network for Active Learning","publication_year":2023,"publication_date":"2023-09-11","ids":{"openalex":"https://openalex.org/W4386596840","doi":"https://doi.org/10.1109/icip49359.2023.10222635"},"language":"en","primary_location":{"id":"doi:10.1109/icip49359.2023.10222635","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icip49359.2023.10222635","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5109652768","display_name":"Yujia Ye","orcid":null},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujia Ye","raw_affiliation_strings":["Southwest University,College of Computer and Information Science","College of Computer and Information Science, Southwest University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southwest University,College of Computer and Information Science","institution_ids":["https://openalex.org/I142108993"]},{"raw_affiliation_string":"College of Computer and Information Science, Southwest University","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101242923","display_name":"Zhangquan Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhangquan Wu","raw_affiliation_strings":["Southwest University,College of Computer and Information Science","College of Computer and Information Science, Southwest University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southwest University,College of Computer and Information Science","institution_ids":["https://openalex.org/I142108993"]},{"raw_affiliation_string":"College of Computer and Information Science, Southwest University","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114233857","display_name":"Guoliang Su","orcid":null},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoliang Su","raw_affiliation_strings":["Southwest University,College of Computer and Information Science","College of Computer and Information Science, Southwest University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southwest University,College of Computer and Information Science","institution_ids":["https://openalex.org/I142108993"]},{"raw_affiliation_string":"College of Computer and Information Science, Southwest University","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5115599652","display_name":"Jun Zhou","orcid":"https://orcid.org/0000-0002-5406-1138"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Zhou","raw_affiliation_strings":["Southwest University,College of Computer and Information Science","College of Computer and Information Science, Southwest University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southwest University,College of Computer and Information Science","institution_ids":["https://openalex.org/I142108993"]},{"raw_affiliation_string":"College of Computer and Information Science, Southwest University","institution_ids":["https://openalex.org/I142108993"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I142108993"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"19","issue":null,"first_page":"495","last_page":"499"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9998000264167786,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9998000264167786,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9986000061035156,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9973000288009644,"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":0.7572362422943115},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5892231464385986},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.5692800879478455},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5400553345680237},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5328242182731628},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5172984600067139},{"id":"https://openalex.org/keywords/representativeness-heuristic","display_name":"Representativeness heuristic","score":0.504707932472229},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.451039582490921},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4405921995639801},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"Semi-supervised learning","score":0.4188763499259949},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3778434991836548},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2043515145778656},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09794843196868896}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7572362422943115},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5892231464385986},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.5692800879478455},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5400553345680237},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5328242182731628},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5172984600067139},{"id":"https://openalex.org/C37381756","wikidata":"https://www.wikidata.org/wiki/Q20203288","display_name":"Representativeness heuristic","level":2,"score":0.504707932472229},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.451039582490921},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4405921995639801},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.4188763499259949},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3778434991836548},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2043515145778656},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09794843196868896},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip49359.2023.10222635","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icip49359.2023.10222635","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1515450954","https://openalex.org/W1845402413","https://openalex.org/W2011674654","https://openalex.org/W2112796928","https://openalex.org/W2151596305","https://openalex.org/W2734358244","https://openalex.org/W2753160622","https://openalex.org/W2774918944","https://openalex.org/W2798820905","https://openalex.org/W2951786554","https://openalex.org/W2955082436","https://openalex.org/W2956371155","https://openalex.org/W2963720057","https://openalex.org/W2986514296","https://openalex.org/W3014347019","https://openalex.org/W3035499919","https://openalex.org/W3095809828","https://openalex.org/W3104181075","https://openalex.org/W3174894125","https://openalex.org/W3179192172","https://openalex.org/W3203375606","https://openalex.org/W4312677475","https://openalex.org/W4313030842","https://openalex.org/W6630973972","https://openalex.org/W6638701278","https://openalex.org/W6682291466","https://openalex.org/W6735374517","https://openalex.org/W6743661861","https://openalex.org/W6745783979","https://openalex.org/W6747231328","https://openalex.org/W6765043155"],"related_works":["https://openalex.org/W2365028544","https://openalex.org/W4309984931","https://openalex.org/W4282977123","https://openalex.org/W2949671220","https://openalex.org/W2013810580","https://openalex.org/W2186210338","https://openalex.org/W4206276646","https://openalex.org/W2371815184","https://openalex.org/W1571801203","https://openalex.org/W2369040532"],"abstract_inverted_index":{"Active":[0],"learning":[1,47],"to":[2,80,95],"select":[3],"the":[4,26,53,63,71,82,97,109,121,124,131,138,152],"most":[5],"valuable":[6],"examples":[7,30,89],"for":[8,112,130],"annotation":[9],"from":[10],"unlabeled":[11,66,98,143],"data":[12,33,60,74,99],"pools":[13],"in":[14,62,127],"high-dimensional":[15],"datasets":[16],"is":[17,93,161],"particularly":[18,162],"challenging":[19],"and":[20,65,116,142,166],"has":[21],"attracted":[22],"considerable":[23],"attention.":[24],"However,":[25],"impact":[27],"of":[28,55,88,123,169],"annotated":[29],"on":[31,52,108,155,164],"global":[32],"was":[34],"often":[35],"not":[36],"considered.":[37],"In":[38],"this":[39],"paper,":[40],"we":[41,68,119],"propose":[42],"a":[43,76,86,104],"novel":[44],"batch":[45,133],"active":[46],"strategy":[48],"called":[49],"TA-GCNAL":[50,147],"based":[51,107],"perspective":[54],"task":[56,110],"model.":[57],"To":[58],"consider":[59],"distribution":[61],"labeled":[64,141],"pool,":[67],"first":[69],"calculate":[70],"correlation":[72,139],"between":[73,140],"through":[75],"graph":[77],"convolution":[78],"network":[79],"predict":[81],"example\u2019s":[83],"uncertainty.":[84],"Then,":[85],"subset":[87],"with":[90],"high":[91],"uncertainty":[92],"generated":[94],"replace":[96],"pools.":[100,144],"It":[101],"transformed":[102],"into":[103,136],"probability":[105,128],"space":[106,129],"model":[111],"core":[113,125],"dataset":[114,126],"selection":[115],"annotation.":[117],"Finally,":[118],"compute":[120],"representativeness":[122],"example":[132],"selection,":[134],"taking":[135],"account":[137],"Our":[145],"proposed":[146],"achieve":[148],"superior":[149],"performance":[150],"than":[151],"state-of-the-art":[153],"methods":[154],"various":[156],"benchmark":[157],"datasets.":[158,171],"The":[159],"improvement":[160],"significant":[163],"unbalanced":[165],"large":[167],"number":[168],"classes":[170]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
