{"id":"https://openalex.org/W4412929513","doi":"https://doi.org/10.3390/sym17081235","title":"Graph Convolutional Network with Multi-View Topology for Lightweight Skeleton-Based Action Recognition","display_name":"Graph Convolutional Network with Multi-View Topology for Lightweight Skeleton-Based Action Recognition","publication_year":2025,"publication_date":"2025-08-04","ids":{"openalex":"https://openalex.org/W4412929513","doi":"https://doi.org/10.3390/sym17081235"},"language":"en","primary_location":{"id":"doi:10.3390/sym17081235","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym17081235","pdf_url":"https://www.mdpi.com/2073-8994/17/8/1235/pdf?version=1754314989","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2073-8994/17/8/1235/pdf?version=1754314989","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100462050","display_name":"Liangliang Wang","orcid":"https://orcid.org/0000-0002-8350-0312"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liangliang Wang","raw_affiliation_strings":["School of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100437310","display_name":"Xu Zhang","orcid":"https://orcid.org/0000-0003-3632-4464"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Zhang","raw_affiliation_strings":["School of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072209676","display_name":"Chuang Zhang","orcid":"https://orcid.org/0000-0003-3936-8948"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chuang Zhang","raw_affiliation_strings":["School of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China","institution_ids":["https://openalex.org/I200845125"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5072209676"],"corresponding_institution_ids":["https://openalex.org/I200845125"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":1.5236,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.83792981,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"17","issue":"8","first_page":"1235","last_page":"1235"},"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":0.9951000213623047,"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":0.9900000095367432,"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":0.6881062388420105},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.5588623881340027},{"id":"https://openalex.org/keywords/skeleton","display_name":"Skeleton (computer programming)","score":0.5567824840545654},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.5440676808357239},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.48698243498802185},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37884098291397095},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3734896779060364},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.26335734128952026},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23838618397712708},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.15688034892082214}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6881062388420105},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.5588623881340027},{"id":"https://openalex.org/C18969341","wikidata":"https://www.wikidata.org/wiki/Q1169129","display_name":"Skeleton (computer programming)","level":2,"score":0.5567824840545654},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.5440676808357239},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.48698243498802185},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37884098291397095},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3734896779060364},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.26335734128952026},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23838618397712708},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.15688034892082214},{"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/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3390/sym17081235","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym17081235","pdf_url":"https://www.mdpi.com/2073-8994/17/8/1235/pdf?version=1754314989","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.3390/sym17081235","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym17081235","pdf_url":"https://www.mdpi.com/2073-8994/17/8/1235/pdf?version=1754314989","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5095861848","display_name":null,"funder_award_id":"62272234","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412929513.pdf","grobid_xml":"https://content.openalex.org/works/W4412929513.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W203345490","https://openalex.org/W846669277","https://openalex.org/W1950788856","https://openalex.org/W1989665047","https://openalex.org/W2016053056","https://openalex.org/W2054041160","https://openalex.org/W2110819057","https://openalex.org/W2156303437","https://openalex.org/W2473890477","https://openalex.org/W2510185399","https://openalex.org/W2606294640","https://openalex.org/W2751841288","https://openalex.org/W2778523960","https://openalex.org/W2940457086","https://openalex.org/W2944006115","https://openalex.org/W2948058585","https://openalex.org/W2948246283","https://openalex.org/W2963076818","https://openalex.org/W2963465695","https://openalex.org/W2964134613","https://openalex.org/W3034999503","https://openalex.org/W3035050855","https://openalex.org/W3035225512","https://openalex.org/W3093411241","https://openalex.org/W3108496296","https://openalex.org/W3174836262","https://openalex.org/W3185273257","https://openalex.org/W3203634062","https://openalex.org/W4312757522","https://openalex.org/W4386065362","https://openalex.org/W4386076069","https://openalex.org/W4392873959","https://openalex.org/W4401163409","https://openalex.org/W4402716188","https://openalex.org/W4403320672","https://openalex.org/W4407944062","https://openalex.org/W4409262380","https://openalex.org/W6682864246","https://openalex.org/W6756911974"],"related_works":["https://openalex.org/W2953562271","https://openalex.org/W2334655667","https://openalex.org/W2464530384","https://openalex.org/W2105938841","https://openalex.org/W4253358700","https://openalex.org/W3139863978","https://openalex.org/W2014897006","https://openalex.org/W4399611050","https://openalex.org/W4388657984","https://openalex.org/W3170431411"],"abstract_inverted_index":{"Skeleton-based":[0],"action":[1],"recognition":[2],"is":[3,60,121],"an":[4],"important":[5],"subject":[6],"in":[7,90],"deep":[8],"learning.":[9],"Graph":[10,55],"Convolutional":[11,56,117],"Networks":[12],"(GCNs)":[13],"have":[14],"demonstrated":[15],"strong":[16],"performance":[17,180],"by":[18,134],"modeling":[19,75,135,149],"the":[20,29,99,106,143,150,171,207],"human":[21,151],"skeleton":[22,152],"as":[23,138,153],"a":[24,51,71,91,95,113,129,139,155,158,163],"natural":[25],"topological":[26,164],"graph,":[27,140,160],"representing":[28],"connections":[30],"between":[31,103,166],"joints.":[32],"However,":[33],"most":[34],"existing":[35],"methods":[36],"rely":[37],"on":[38,181],"non-adaptive":[39],"topologies":[40],"or":[41],"insufficiently":[42],"expressive":[43],"representations.":[44],"To":[45],"address":[46],"these":[47],"limitations,":[48],"we":[49,127,161],"propose":[50,70,112],"Multi-view":[52],"Topology":[53],"Refinement":[54],"Network":[57,118],"(MTR-GCN),":[58],"which":[59,120,141],"efficient,":[61],"lightweight,":[62],"and":[63,123,157,168,203,215],"delivers":[64],"high":[65],"performance.":[66],"Specifically:":[67],"(1)":[68],"We":[69,111],"new":[72,114,130],"spatial":[73,156],"topology":[74,132],"approach":[76],"that":[77],"incorporates":[78],"two":[79],"views.":[80],"A":[81],"dynamic":[82],"view":[83,97],"fuses":[84],"joint":[85],"information":[86],"from":[87],"dual":[88],"streams":[89],"pairwise":[92],"manner,":[93],"while":[94],"static":[96,101],"encodes":[98],"shortest":[100],"paths":[102],"joints,":[104],"preserving":[105],"original":[107],"connectivity":[108],"relationships.":[109],"(2)":[110],"MultiScale":[115],"Temporal":[116],"(MSTC),":[119],"efficient":[122],"lightweight.":[124],"(3)":[125],"Furthermore,":[126],"introduce":[128],"temporal":[131,136,146,159],"strategy":[133],"frames":[137],"strengthens":[142],"extraction":[144],"of":[145,209],"features.":[147],"By":[148],"both":[154],"reveal":[162],"symmetry":[165],"space":[167],"time":[169],"within":[170],"unified":[172],"spatio-temporal":[173],"framework.":[174],"The":[175],"proposed":[176],"model":[177],"achieves":[178],"state-of-the-art":[179],"several":[182],"benchmark":[183],"datasets,":[184],"including":[185],"NTU":[186,194],"RGB":[187,195],"+":[188,196],"D":[189,197],"(XSub:":[190,199],"92.8%,":[191],"XView:":[192],"96.8%),":[193],"120":[198],"89.6%,":[200],"XSet:":[201],"90.8%),":[202],"NW-UCLA":[204],"(95.7%),":[205],"demonstrating":[206],"effectiveness":[208],"our":[210],"GCN":[211],"module,":[212,214],"TCN":[213],"overall":[216],"architecture.":[217]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-07-14T08:27:34.040176","created_date":"2025-10-10T00:00:00"}
