{"id":"https://openalex.org/W4308235894","doi":"https://doi.org/10.1109/icip46576.2022.9897510","title":"Rotation-Equivariant Graph Convolutional Networks For Spherical Data Via Global-Local Attention","display_name":"Rotation-Equivariant Graph Convolutional Networks For Spherical Data Via Global-Local Attention","publication_year":2022,"publication_date":"2022-10-16","ids":{"openalex":"https://openalex.org/W4308235894","doi":"https://doi.org/10.1109/icip46576.2022.9897510"},"language":"en","primary_location":{"id":"doi:10.1109/icip46576.2022.9897510","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897510","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Image Processing (ICIP)","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/A5014221694","display_name":"Jiayi Xu","orcid":"https://orcid.org/0000-0002-9091-6412"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiayi Xu","raw_affiliation_strings":["Shanghai Jiao Tong University,China","Shanghai Jiao Tong University, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101683429","display_name":"Qin Yang","orcid":"https://orcid.org/0009-0002-7340-8667"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qin Yang","raw_affiliation_strings":["Shanghai Jiao Tong University,China","Shanghai Jiao Tong University, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100675587","display_name":"Chenglin Li","orcid":"https://orcid.org/0000-0003-2888-594X"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenglin Li","raw_affiliation_strings":["Shanghai Jiao Tong University,China","Shanghai Jiao Tong University, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016006337","display_name":"Junni Zou","orcid":"https://orcid.org/0000-0002-9694-9880"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junni Zou","raw_affiliation_strings":["Shanghai Jiao Tong University,China","Shanghai Jiao Tong University, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002494284","display_name":"Hongkai Xiong","orcid":"https://orcid.org/0000-0003-4552-0029"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongkai Xiong","raw_affiliation_strings":["Shanghai Jiao Tong University,China","Shanghai Jiao Tong University, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053076020","display_name":"Xinlong Pan","orcid":"https://orcid.org/0000-0002-2615-8688"},"institutions":[{"id":"https://openalex.org/I28813325","display_name":"Civil Aviation University of China","ror":"https://ror.org/03je71k37","country_code":"CN","type":"education","lineage":["https://openalex.org/I28813325"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinlong Pan","raw_affiliation_strings":["Naval Aviation University,China","Naval Aviation University, China"],"affiliations":[{"raw_affiliation_string":"Naval Aviation University,China","institution_ids":["https://openalex.org/I28813325"]},{"raw_affiliation_string":"Naval Aviation University, China","institution_ids":["https://openalex.org/I28813325"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100405763","display_name":"Haipeng Wang","orcid":"https://orcid.org/0000-0003-4201-1122"},"institutions":[{"id":"https://openalex.org/I28813325","display_name":"Civil Aviation University of China","ror":"https://ror.org/03je71k37","country_code":"CN","type":"education","lineage":["https://openalex.org/I28813325"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haipeng Wang","raw_affiliation_strings":["Naval Aviation University,China","Naval Aviation University, China"],"affiliations":[{"raw_affiliation_string":"Naval Aviation University,China","institution_ids":["https://openalex.org/I28813325"]},{"raw_affiliation_string":"Naval Aviation University, China","institution_ids":["https://openalex.org/I28813325"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5014221694"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.0599,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.28725225,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"2014","issue":null,"first_page":"2501","last_page":"2505"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9930999875068665,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9930999875068665,"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/T10757","display_name":"Geographic Information Systems Studies","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9912999868392944,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/computer-science","display_name":"Computer science","score":0.6506452560424805},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.5609832406044006},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5532863140106201},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.4904939532279968},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.4644949734210968},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.45627278089523315},{"id":"https://openalex.org/keywords/equivariant-map","display_name":"Equivariant map","score":0.43762868642807007},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.42978647351264954},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.4268670082092285},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36778172850608826},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34984785318374634},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.297768771648407},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2461443841457367},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.1132453978061676},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.09576642513275146}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6506452560424805},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.5609832406044006},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5532863140106201},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4904939532279968},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.4644949734210968},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.45627278089523315},{"id":"https://openalex.org/C171036898","wikidata":"https://www.wikidata.org/wiki/Q256355","display_name":"Equivariant map","level":2,"score":0.43762868642807007},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.42978647351264954},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.4268670082092285},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36778172850608826},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34984785318374634},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.297768771648407},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2461443841457367},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.1132453978061676},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.09576642513275146},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip46576.2022.9897510","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897510","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1484040084","https://openalex.org/W1901129140","https://openalex.org/W2014869309","https://openalex.org/W2089618650","https://openalex.org/W2155133180","https://openalex.org/W2593745480","https://openalex.org/W2624442909","https://openalex.org/W2738767782","https://openalex.org/W2796422723","https://openalex.org/W2895696451","https://openalex.org/W3035547893","https://openalex.org/W4231449374","https://openalex.org/W6757782795","https://openalex.org/W6769516661","https://openalex.org/W6771536047","https://openalex.org/W6771536906","https://openalex.org/W6780019153","https://openalex.org/W6784266278","https://openalex.org/W6797464607"],"related_works":["https://openalex.org/W4320342073","https://openalex.org/W2294479998","https://openalex.org/W2069713581","https://openalex.org/W2383650581","https://openalex.org/W4385485567","https://openalex.org/W1970987673","https://openalex.org/W2945409068","https://openalex.org/W2386767533","https://openalex.org/W3127884516","https://openalex.org/W4309795810"],"abstract_inverted_index":{"Graph":[0],"convolutional":[1],"networks":[2],"(GCNs)":[3],"are":[4],"widely":[5],"adopted":[6],"for":[7,70,155,173],"spherical":[8,66,71,98,179],"data":[9,72],"processing,":[10],"striking":[11],"a":[12,29,39,63,80,119,129,152],"balance":[13],"between":[14],"rotation":[15],"equivariance":[16],"and":[17,50,146,158,175,196],"computation":[18],"efficiency.":[19],"However,":[20],"current":[21],"GCN-based":[22],"approaches":[23],"either":[24],"apply":[25],"radial":[26],"filters":[27],"with":[28,106],"fixed":[30],"convolution":[31,68,78],"kernel,":[32],"or":[33],"adopt":[34],"attention":[35,83,114,131],"schemes":[36],"to":[37,85,110,122,133],"learn":[38],"variable":[40],"kernel":[41],"based":[42,91,141],"only":[43],"on":[44,92,142,165,183],"node":[45,121,144],"features,":[46],"which":[47,149],"lack":[48],"expressiveness":[49],"may":[51],"suffer":[52],"over-smoothing":[53,162],"problem.":[54,163],"To":[55],"address":[56],"this,":[57],"in":[58],"this":[59],"paper,":[60],"we":[61,169],"propose":[62],"global-local":[64],"attention-based":[65],"graph":[67,77,147],"(GlasGC)":[69],"representation.":[73],"Specifically,":[74],"the":[75,87,96,107,112,123,135,161],"designed":[76],"includes":[79],"structure-enhanced":[81],"local":[82,113],"module":[84,132],"estimate":[86],"structure":[88,101],"correlation":[89,102,109],"efficiently":[90],"topological":[93],"characteristics":[94],"of":[95,118,138,178],"given":[97],"graph.":[99],"The":[100],"is":[103],"then":[104],"incorporated":[105],"feature":[108],"form":[111],"that":[115,187],"determines":[116],"importance":[117,136],"neighbor":[120],"center":[124],"node.":[125],"We":[126],"also":[127],"design":[128,170],"global":[130],"obtain":[134],"scores":[137],"different":[139],"nodes":[140,157],"both":[143],"features":[145],"topology,":[148],"acts":[150],"as":[151],"message-passing":[153],"enhancer":[154],"informative":[156],"can":[159,191],"relieve":[160],"Based":[164],"our":[166,188],"proposed":[167,189],"GlasGC,":[168],"specific":[171],"GlasGCNs":[172,190],"classification":[174,195],"semantic":[176],"segmentation":[177,197],"data.":[180],"Empirical":[181],"evaluations":[182],"these":[184],"tasks":[185],"demonstrate":[186],"generally":[192],"achieve":[193],"better":[194],"performance.":[198]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
