{"id":"https://openalex.org/W3092779813","doi":"https://doi.org/10.1145/3394171.3414046","title":"AdaHGNN","display_name":"AdaHGNN","publication_year":2020,"publication_date":"2020-10-12","ids":{"openalex":"https://openalex.org/W3092779813","doi":"https://doi.org/10.1145/3394171.3414046","mag":"3092779813"},"language":"en","primary_location":{"id":"doi:10.1145/3394171.3414046","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3394171.3414046","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th ACM International Conference on Multimedia","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/A5050877497","display_name":"Xiangping Wu","orcid":"https://orcid.org/0000-0002-5267-2250"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangping Wu","raw_affiliation_strings":["Harbin Institute of Technology, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101895423","display_name":"Qingcai Chen","orcid":"https://orcid.org/0000-0001-8473-7293"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingcai Chen","raw_affiliation_strings":["Harbin Institute of Technology & Peng Cheng Laboratory, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology & Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793","https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100318161","display_name":"Wei Li","orcid":"https://orcid.org/0000-0002-3135-0447"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Li","raw_affiliation_strings":["Harbin Institute of Technology, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006205393","display_name":"Yulun Xiao","orcid":"https://orcid.org/0000-0003-4775-7329"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yulun Xiao","raw_affiliation_strings":["Harbin Institute of Technology, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083079672","display_name":"Baotian Hu","orcid":"https://orcid.org/0000-0001-7490-684X"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baotian Hu","raw_affiliation_strings":["Harbin Institute of Technology, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":52,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"284","last_page":"293"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9987999796867371,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9987999796867371,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9969000220298767,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9936000108718872,"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/hypergraph","display_name":"Hypergraph","score":0.88649582862854},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7967294454574585},{"id":"https://openalex.org/keywords/pascal","display_name":"Pascal (unit)","score":0.728300929069519},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5269587635993958},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5253338813781738},{"id":"https://openalex.org/keywords/cover","display_name":"Cover (algebra)","score":0.4487992227077484},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4483897089958191},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.417550265789032},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3741922378540039},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3403438925743103},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08874064683914185}],"concepts":[{"id":"https://openalex.org/C2781221856","wikidata":"https://www.wikidata.org/wiki/Q840247","display_name":"Hypergraph","level":2,"score":0.88649582862854},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7967294454574585},{"id":"https://openalex.org/C75608658","wikidata":"https://www.wikidata.org/wiki/Q44395","display_name":"Pascal (unit)","level":2,"score":0.728300929069519},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5269587635993958},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5253338813781738},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.4487992227077484},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4483897089958191},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.417550265789032},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3741922378540039},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3403438925743103},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08874064683914185},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3394171.3414046","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3394171.3414046","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th ACM International Conference on Multimedia","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":44,"referenced_works":["https://openalex.org/W1567302070","https://openalex.org/W1861492603","https://openalex.org/W1962468782","https://openalex.org/W2006904655","https://openalex.org/W2007972815","https://openalex.org/W2031489346","https://openalex.org/W2108598243","https://openalex.org/W2163166770","https://openalex.org/W2194775991","https://openalex.org/W2250539671","https://openalex.org/W2277195237","https://openalex.org/W2318862362","https://openalex.org/W2405989770","https://openalex.org/W2410641892","https://openalex.org/W2463598282","https://openalex.org/W2483458289","https://openalex.org/W2521365688","https://openalex.org/W2549365021","https://openalex.org/W2560096627","https://openalex.org/W2736688973","https://openalex.org/W2741904151","https://openalex.org/W2884821995","https://openalex.org/W2890153145","https://openalex.org/W2892181857","https://openalex.org/W2892880750","https://openalex.org/W2896102499","https://openalex.org/W2904533240","https://openalex.org/W2912423076","https://openalex.org/W2932399282","https://openalex.org/W2943963440","https://openalex.org/W2948905445","https://openalex.org/W2957702778","https://openalex.org/W2963300078","https://openalex.org/W2963322224","https://openalex.org/W2963697527","https://openalex.org/W2963745697","https://openalex.org/W2963875806","https://openalex.org/W2965825037","https://openalex.org/W2969238677","https://openalex.org/W2981382563","https://openalex.org/W2982108874","https://openalex.org/W2982112268","https://openalex.org/W2999565440","https://openalex.org/W3102424508"],"related_works":["https://openalex.org/W4376608589","https://openalex.org/W3138003926","https://openalex.org/W4300037846","https://openalex.org/W1630514295","https://openalex.org/W1537073411","https://openalex.org/W2963081352","https://openalex.org/W4376608938","https://openalex.org/W4288275998","https://openalex.org/W2472555608","https://openalex.org/W4214498971"],"abstract_inverted_index":{"Multi-label":[0],"image":[1,74],"classification":[2,60],"is":[3,66,106],"an":[4,63],"important":[5],"and":[6,12,85,96,125,133,145],"challenging":[7],"task":[8],"in":[9],"computer":[10],"vision":[11],"multimedia":[13],"fields.":[14],"Most":[15],"of":[16,142],"the":[17,22,35,98,149,153],"recent":[18],"works":[19],"only":[20],"capture":[21,156],"pair-wise":[23],"dependencies":[24],"among":[25],"multiple":[26],"labels":[27],"through":[28],"statistical":[29],"co-occurrence":[30],"information,":[31],"which":[32,129],"cannot":[33],"model":[34,49],"high-order":[36,46,99,157],"semantic":[37,47,100,158],"relations":[38],"automatically.":[39,72],"In":[40,102],"this":[41],"paper,":[42],"we":[43],"propose":[44],"a":[45],"learning":[48,105],"based":[50],"on":[51,118,140],"adaptive":[52,64],"hypergraph":[53,65,86],"neural":[54,87],"networks":[55,88],"(AdaHGNN)":[56],"to":[57,82,92,108,111,155],"boost":[58],"multi-label":[59],"performance.":[61],"Firstly,":[62],"constructed":[67],"by":[68],"using":[69],"label":[70],"embeddings":[71],"Secondly,":[73],"features":[75],"are":[76,90,116,138],"decoupled":[77],"into":[78],"feature":[79],"vectors":[80,95],"corresponding":[81],"each":[83],"label,":[84],"(HGNN)":[89],"employed":[91],"correlate":[93],"these":[94],"explore":[97],"interactions.":[101],"addition,":[103],"multi-scale":[104],"used":[107],"reduce":[109],"sensitivity":[110],"object":[112],"size":[113],"inconsistencies.":[114],"Experiments":[115],"conducted":[117],"four":[119],"benchmarks:":[120],"MS-COCO,":[121],"NUS-WIDE,":[122],"Visual":[123],"Genome,":[124],"Pascal":[126],"VOC":[127],"2007,":[128],"cover":[130],"large,":[131],"medium,":[132],"small-scale":[134],"categories.":[135],"State-of-the-art":[136],"performances":[137],"achieved":[139],"three":[141],"them.":[143],"Results":[144],"analysis":[146],"demonstrate":[147],"that":[148],"proposed":[150],"method":[151],"has":[152],"ability":[154],"dependencies.":[159]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":19},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":6}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2020-10-22T00:00:00"}