{"id":"https://openalex.org/W4406947105","doi":"https://doi.org/10.1109/tits.2025.3529666","title":"OST-HGCN: Optimized Spatial-Temporal Hypergraph Convolution Network for Trajectory Prediction","display_name":"OST-HGCN: Optimized Spatial-Temporal Hypergraph Convolution Network for Trajectory Prediction","publication_year":2025,"publication_date":"2025-01-29","ids":{"openalex":"https://openalex.org/W4406947105","doi":"https://doi.org/10.1109/tits.2025.3529666"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2025.3529666","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2025.3529666","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","raw_type":"journal-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/A5031270437","display_name":"Xuanqi Lin","orcid":"https://orcid.org/0009-0006-0401-2828"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xuanqi Lin","raw_affiliation_strings":["Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Beijing Artificial Intelligence Institute, and the Faculty of Information Technology, Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Beijing Artificial Intelligence Institute, and the Faculty of Information Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070956153","display_name":"Yong Zhang","orcid":"https://orcid.org/0000-0001-6650-6790"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Zhang","raw_affiliation_strings":["Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Beijing Artificial Intelligence Institute, and the Faculty of Information Technology, Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Beijing Artificial Intelligence Institute, and the Faculty of Information Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038735174","display_name":"Shun Wang","orcid":"https://orcid.org/0000-0003-0054-2523"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shun Wang","raw_affiliation_strings":["Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Beijing Artificial Intelligence Institute, and the Faculty of Information Technology, Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Beijing Artificial Intelligence Institute, and the Faculty of Information Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027329007","display_name":"Yongli Hu","orcid":"https://orcid.org/0000-0003-0440-438X"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongli Hu","raw_affiliation_strings":["Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Beijing Artificial Intelligence Institute, and the Faculty of Information Technology, Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Beijing Artificial Intelligence Institute, and the Faculty of Information Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020527092","display_name":"Baocai Yin","orcid":"https://orcid.org/0000-0003-3121-1823"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baocai Yin","raw_affiliation_strings":["Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Beijing Artificial Intelligence Institute, and the Faculty of Information Technology, Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Beijing Artificial Intelligence Institute, and the Faculty of Information Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5031270437"],"corresponding_institution_ids":["https://openalex.org/I37796252"],"apc_list":null,"apc_paid":null,"fwci":8.0638,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.97331675,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"26","issue":"3","first_page":"3056","last_page":"3070"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9578999876976013,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9545999765396118,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.7941094040870667},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.684991717338562},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5567246079444885},{"id":"https://openalex.org/keywords/hypergraph","display_name":"Hypergraph","score":0.4399985373020172},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35319721698760986},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2990983724594116},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28268522024154663},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.14186888933181763},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.11400255560874939},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.09194356203079224}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.7941094040870667},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.684991717338562},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5567246079444885},{"id":"https://openalex.org/C2781221856","wikidata":"https://www.wikidata.org/wiki/Q840247","display_name":"Hypergraph","level":2,"score":0.4399985373020172},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35319721698760986},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2990983724594116},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28268522024154663},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.14186888933181763},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.11400255560874939},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.09194356203079224},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2025.3529666","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2025.3529666","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6077705658","display_name":null,"funder_award_id":"2021ZD0111902","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G6212863906","display_name":null,"funder_award_id":"U21B2038","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7500108037","display_name":null,"funder_award_id":"62472014","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"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1605929701","https://openalex.org/W1967777429","https://openalex.org/W1968729467","https://openalex.org/W1978317329","https://openalex.org/W2068078373","https://openalex.org/W2128700566","https://openalex.org/W2157461671","https://openalex.org/W2424778531","https://openalex.org/W2607296803","https://openalex.org/W2766836212","https://openalex.org/W2801667201","https://openalex.org/W2892880750","https://openalex.org/W2900766759","https://openalex.org/W2911273949","https://openalex.org/W2913368959","https://openalex.org/W2940457086","https://openalex.org/W2962687116","https://openalex.org/W2962715980","https://openalex.org/W2963001155","https://openalex.org/W2964136016","https://openalex.org/W2969294606","https://openalex.org/W2991653934","https://openalex.org/W3034589393","https://openalex.org/W3034722190","https://openalex.org/W3035096461","https://openalex.org/W3035285524","https://openalex.org/W3048550213","https://openalex.org/W3080566854","https://openalex.org/W3081304929","https://openalex.org/W3097237405","https://openalex.org/W3108486966","https://openalex.org/W3108908812","https://openalex.org/W3177765762","https://openalex.org/W3190664711","https://openalex.org/W4211213044","https://openalex.org/W4224266469","https://openalex.org/W4242608849","https://openalex.org/W4293168685","https://openalex.org/W4312305613","https://openalex.org/W4312696592","https://openalex.org/W4312750092","https://openalex.org/W4312870640","https://openalex.org/W4313041951"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4376608589","https://openalex.org/W1537073411","https://openalex.org/W1948107826","https://openalex.org/W3138003926","https://openalex.org/W1630514295","https://openalex.org/W4300037846","https://openalex.org/W4288275998"],"abstract_inverted_index":{"Pedestrian":[0],"trajectory":[1,62,85,117],"prediction":[2,97,118],"is":[3],"a":[4,95],"key":[5],"component":[6],"for":[7],"various":[8],"applications":[9],"that":[10],"involve":[11],"human":[12],"and":[13,22,40,67,73,88,99,124,126],"vehicle":[14],"interactions,":[15],"such":[16],"as":[17],"autonomous":[18],"driving,":[19],"traffic":[20],"management":[21],"smart":[23],"city":[24],"planning.":[25],"Existing":[26],"methods":[27],"based":[28],"on":[29,114],"graph":[30],"neural":[31],"networks":[32],"have":[33],"limited":[34],"ability":[35],"to":[36,79,94,105],"capture":[37],"group":[38],"interactions":[39,63],"precisely":[41],"model":[42],"complex":[43],"associations":[44],"among":[45],"multi-agents.":[46],"To":[47],"solve":[48],"these":[49],"problems,":[50],"we":[51],"propose":[52],"OST-HGCN,":[53],"an":[54],"optimized":[55,102],"hypergraph":[56,71,77,103],"convolutional":[57],"network.":[58],"It":[59],"models":[60],"multi-agent":[61,84,107],"from":[64],"both":[65],"temporal":[66],"spatial":[68],"perspectives":[69],"using":[70],"structures,":[72],"optimizes":[74],"the":[75,101,128,131],"spatio-temporal":[76],"structure":[78,104],"enable":[80],"fine-grained":[81],"analysis":[82],"of":[83,120,130],"motion":[86],"intentions":[87],"high-order":[89],"interactions.":[90],"We":[91,110],"employ":[92],"OST-HGCN":[93],"CVAE-based":[96],"framework,":[98],"use":[100],"predict":[106],"plausible":[108],"trajectories.":[109],"conduct":[111],"extensive":[112],"experiments":[113],"four":[115],"real":[116],"datasets":[119],"NBA,":[121],"NFL,":[122],"SDD":[123],"ETH-UCY,":[125],"verify":[127],"effectiveness":[129],"proposed":[132],"OST-HGCN.":[133]},"counts_by_year":[{"year":2025,"cited_by_count":8}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}