{"id":"https://openalex.org/W2979059511","doi":"https://doi.org/10.1109/ijcnn.2019.8851767","title":"Si-GCN: Structure-induced Graph Convolution Network for Skeleton-based Action Recognition","display_name":"Si-GCN: Structure-induced Graph Convolution Network for Skeleton-based Action Recognition","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2979059511","doi":"https://doi.org/10.1109/ijcnn.2019.8851767","mag":"2979059511"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2019.8851767","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8851767","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Joint Conference on Neural Networks (IJCNN)","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/A5068977147","display_name":"Rong Liu","orcid":"https://orcid.org/0009-0005-7942-9727"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Rong Liu","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054364063","display_name":"Chunyan Xu","orcid":"https://orcid.org/0000-0002-0814-4362"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunyan Xu","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100378800","display_name":"Tong Zhang","orcid":"https://orcid.org/0000-0002-7025-6365"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tong Zhang","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039522571","display_name":"Wenting Zhao","orcid":"https://orcid.org/0000-0001-8640-1689"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenting Zhao","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101571224","display_name":"Zhen Cui","orcid":"https://orcid.org/0000-0002-8292-6389"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Cui","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100726984","display_name":"Jian Yang","orcid":"https://orcid.org/0000-0003-4800-832X"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Yang","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5068977147"],"corresponding_institution_ids":["https://openalex.org/I36399199"],"apc_list":null,"apc_paid":null,"fwci":2.4293,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.91535685,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":1.0,"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/T10812","display_name":"Human Pose and Action Recognition","score":1.0,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9940000176429749,"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/action-recognition","display_name":"Action recognition","score":0.7332474589347839},{"id":"https://openalex.org/keywords/human-skeleton","display_name":"Human skeleton","score":0.6770639419555664},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6497689485549927},{"id":"https://openalex.org/keywords/skeleton","display_name":"Skeleton (computer programming)","score":0.6337999105453491},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5989702939987183},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5744062066078186},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5095534324645996},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4531252384185791},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.39179039001464844},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.17378109693527222}],"concepts":[{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.7332474589347839},{"id":"https://openalex.org/C2777846634","wikidata":"https://www.wikidata.org/wiki/Q9621","display_name":"Human skeleton","level":2,"score":0.6770639419555664},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6497689485549927},{"id":"https://openalex.org/C18969341","wikidata":"https://www.wikidata.org/wiki/Q1169129","display_name":"Skeleton (computer programming)","level":2,"score":0.6337999105453491},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5989702939987183},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5744062066078186},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5095534324645996},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4531252384185791},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.39179039001464844},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.17378109693527222},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2019.8851767","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8851767","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5600000023841858,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W203345490","https://openalex.org/W413992410","https://openalex.org/W637153065","https://openalex.org/W1483019628","https://openalex.org/W1578099820","https://openalex.org/W1950788856","https://openalex.org/W2038485832","https://openalex.org/W2048821851","https://openalex.org/W2066132206","https://openalex.org/W2073139398","https://openalex.org/W2179352600","https://openalex.org/W2184544926","https://openalex.org/W2194775991","https://openalex.org/W2290727245","https://openalex.org/W2326735091","https://openalex.org/W2341313195","https://openalex.org/W2415469094","https://openalex.org/W2507009361","https://openalex.org/W2510185399","https://openalex.org/W2517500902","https://openalex.org/W2519758495","https://openalex.org/W2526041356","https://openalex.org/W2526855650","https://openalex.org/W2554408731","https://openalex.org/W2563154851","https://openalex.org/W2565330852","https://openalex.org/W2601271987","https://openalex.org/W2603861860","https://openalex.org/W2604321021","https://openalex.org/W2607707631","https://openalex.org/W2716916105","https://openalex.org/W2751841288","https://openalex.org/W2770191827","https://openalex.org/W2787262181","https://openalex.org/W2792140610","https://openalex.org/W2899638841","https://openalex.org/W2904848298","https://openalex.org/W2963076818","https://openalex.org/W2963728031","https://openalex.org/W2964097678","https://openalex.org/W2964134613","https://openalex.org/W2964145825","https://openalex.org/W2964321699","https://openalex.org/W3098538019","https://openalex.org/W3103616093","https://openalex.org/W4240042586","https://openalex.org/W6608276133","https://openalex.org/W6620673361","https://openalex.org/W6640754710","https://openalex.org/W6676338569","https://openalex.org/W6713582119","https://openalex.org/W6720006811","https://openalex.org/W6724944384","https://openalex.org/W6725062358","https://openalex.org/W6726554431","https://openalex.org/W6735565194","https://openalex.org/W6736943367","https://openalex.org/W6743928348","https://openalex.org/W6747795875","https://openalex.org/W6748797629"],"related_works":["https://openalex.org/W2953562271","https://openalex.org/W1979723775","https://openalex.org/W2126881935","https://openalex.org/W4312993112","https://openalex.org/W3209135759","https://openalex.org/W2347221702","https://openalex.org/W2523395320","https://openalex.org/W41889997","https://openalex.org/W2999049608","https://openalex.org/W3170431411"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"the":[3,11,26,43,47,70,73,85,89,99,134,147,160,170,182,188,193,212],"graph-convolution":[4],"networks":[5],"have":[6],"been":[7],"used":[8],"to":[9,24,50,68,98,132,180],"solve":[10],"problem":[12],"of":[13,29,38,72,82,102,109,124,136,163,187,195,214],"skeleton-based":[14,74,222],"action":[15,75,223],"recognition.":[16],"Previous":[17],"works":[18],"often":[19],"adopted":[20],"a":[21,60,79,107,121],"structure-fixed":[22],"graph":[23,63,119,149],"model":[25,133,181],"physical":[27],"joints":[28],"human":[30,40,83,103,115,125,165,174],"skeleton,":[31],"but":[32,167],"cannot":[33],"well":[34,210],"consider":[35,169],"these":[36,152],"interactions":[37],"different":[39,137,173],"parts":[41],"(e.g.,":[42],"right":[44],"arm":[45],"and":[46,127,184,197,208],"left":[48],"leg)":[49],"some":[51],"extent.":[52],"To":[53],"deal":[54],"with":[55,192,220],"this":[56],"problem,":[57],"we":[58,105],"propose":[59],"novel":[61],"structure-induced":[62],"convolution":[64,178],"network":[65],"(Si-GCN)":[66],"framework":[67],"boost":[69],"performance":[71],"recognition":[76,224],"task.":[77],"Given":[78],"video":[80],"sequence":[81],"skeletons,":[84],"Si-GCN":[86,141,217],"can":[87,156],"produce":[88],"sample-wise":[90],"category":[91],"in":[92,190],"an":[93,130],"end-to-end":[94],"way.":[95],"Specifically,":[96],"according":[97],"natural":[100],"divisions":[101],"body,":[104],"define":[106],"collection":[108],"intra-part":[110,138],"graphs":[111],"for":[112],"each":[113,118,164],"input":[114],"skeleton":[116,189],"(i.e.,":[117],"denotes":[120],"specific":[122],"part/global":[123],"skeleton),":[126],"then":[128,145],"formulate":[129],"inter-graph":[131],"relationships":[135],"graphs.":[139],"The":[140],"framework,":[142],"which":[143],"will":[144],"perform":[146],"spectral":[148],"convolutions":[150],"on":[151,201],"constructed":[153],"intra/inter-part":[154],"graphs,":[155],"not":[157],"only":[158],"capture":[159],"internal":[161],"modalities":[162],"part/subgraph,":[166],"also":[168],"interactions/relationships":[171],"between":[172],"parts.":[175],"A":[176],"temporal":[177,183],"follows":[179],"spatial":[185],"dynamics":[186],"combination":[191],"characteristics":[194],"time":[196],"space.":[198],"Comprehensive":[199],"evaluations":[200],"two":[202],"public":[203],"datasets":[204],"(including":[205],"NTU":[206],"RGB+D":[207],"HDM05)":[209],"demonstrate":[211],"superiority":[213],"our":[215],"proposed":[216],"when":[218],"compared":[219],"existing":[221],"approaches.":[225]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}