{"id":"https://openalex.org/W4283257200","doi":"https://doi.org/10.1145/3529836.3529847","title":"SGCNN for 3D Point Cloud Classification","display_name":"SGCNN for 3D Point Cloud Classification","publication_year":2022,"publication_date":"2022-02-18","ids":{"openalex":"https://openalex.org/W4283257200","doi":"https://doi.org/10.1145/3529836.3529847"},"language":"en","primary_location":{"id":"doi:10.1145/3529836.3529847","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3529836.3529847","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 14th International Conference on Machine Learning and Computing (ICMLC)","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/A5089015746","display_name":"Shiyun Liu","orcid":"https://orcid.org/0000-0002-4174-6189"},"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":"Shiyun Liu","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai Key Laboratory of Navigation and Location-Based Services, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai Key Laboratory of Navigation and Location-Based Services, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020653216","display_name":"Dongrui Liu","orcid":"https://orcid.org/0000-0003-0087-1124"},"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":"Dongrui Liu","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai Key Laboratory of Navigation and Location-Based Services, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai Key Laboratory of Navigation and Location-Based Services, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011165591","display_name":"Chuanchuan Chen","orcid":"https://orcid.org/0000-0003-1672-9173"},"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":"Chuanchuan Chen","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai Key Laboratory of Navigation and Location-Based Services, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai Key Laboratory of Navigation and Location-Based Services, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101629821","display_name":"Changqing Xu","orcid":"https://orcid.org/0000-0001-5887-0592"},"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":"Changqing Xu","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai Key Laboratory of Navigation and Location-Based Services, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai Key Laboratory of Navigation and Location-Based Services, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"419","last_page":"423"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.8264448046684265},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7134386301040649},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6730315685272217},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.593241810798645},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5843339562416077},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.48787903785705566},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4629901647567749},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4396439790725708},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4282476305961609},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4122292697429657},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38203901052474976},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3689204454421997},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.20380979776382446}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.8264448046684265},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7134386301040649},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6730315685272217},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.593241810798645},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5843339562416077},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.48787903785705566},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4629901647567749},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4396439790725708},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4282476305961609},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4122292697429657},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38203901052474976},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3689204454421997},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.20380979776382446},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3529836.3529847","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3529836.3529847","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 14th International Conference on Machine Learning and Computing (ICMLC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2606202972","https://openalex.org/W2795374598","https://openalex.org/W2810240468","https://openalex.org/W2890848214","https://openalex.org/W2963053547","https://openalex.org/W2963057320","https://openalex.org/W2963123724","https://openalex.org/W2963158438","https://openalex.org/W2963231572","https://openalex.org/W2963719584","https://openalex.org/W2981440248","https://openalex.org/W2990613095","https://openalex.org/W3012015905","https://openalex.org/W3035398346","https://openalex.org/W3039448353","https://openalex.org/W3089444959","https://openalex.org/W4234552385"],"related_works":["https://openalex.org/W4244478748","https://openalex.org/W4223488648","https://openalex.org/W2134969820","https://openalex.org/W2251605416","https://openalex.org/W4389340727","https://openalex.org/W4205786897","https://openalex.org/W3150465815","https://openalex.org/W4287694812","https://openalex.org/W3128716822","https://openalex.org/W3046762217"],"abstract_inverted_index":{"3D":[0],"point":[1,11,32,92],"cloud":[2,12,33,93],"processing":[3],"is":[4],"challenging,":[5],"as":[6],"the":[7,10,21,73,88,91,108,113],"points":[8,26],"in":[9,31,94],"are":[13],"disordered":[14],"and":[15,27,43,79,104,110,124],"irregularly":[16],"distributed.":[17],"Graph-based":[18],"networks":[19],"leverage":[20],"underlying":[22],"topological":[23],"relationship":[24],"between":[25],"achieve":[28],"satisfactory":[29],"performance":[30],"classification":[34,100],"task.":[35],"However,":[36],"we":[37,53,63],"observe":[38],"that":[39],"traditional":[40],"graph":[41,77],"construction":[42],"aggregation":[44],"methods":[45],"limit":[46],"their":[47],"efficiency.":[48,125],"To":[49],"address":[50],"this":[51],"problem,":[52],"propose":[54],"a":[55,65,80],"Sparse":[56,66,81],"Graph":[57,67],"Convolution":[58,68],"Neural":[59],"Network":[60],"(SGCNN).":[61],"Specifically,":[62],"apply":[64],"(SGC)":[69],"module":[70,85],"to":[71,86],"reduce":[72],"computation":[74],"complexity":[75],"of":[76,90,96,112],"convolution":[78],"Feature":[82],"Encoding":[83],"(SFE)":[84],"enrich":[87],"representation":[89],"terms":[95],"sparse":[97],"neighbor.":[98],"The":[99],"performances":[101],"on":[102],"synthetic":[103],"real-world":[105],"benchmarks":[106],"demonstrate":[107],"superiority":[109],"effectiveness":[111],"proposed":[114],"method.":[115],"Compared":[116],"with":[117],"state-of-the-art":[118],"methods,":[119],"our":[120],"approach":[121],"balances":[122],"accuracy":[123]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}