{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T03:03:04Z","timestamp":1780542184480,"version":"3.54.1"},"publisher-location":"New York, NY, USA","reference-count":42,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,8,20]],"date-time":"2020-08-20T00:00:00Z","timestamp":1597881600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"National Science Foundation","award":["1850544"],"award-info":[{"award-number":["1850544"]}]},{"name":"The University Corporation for Atmospheric Research","award":["SUBAWD000837"],"award-info":[{"award-number":["SUBAWD000837"]}]},{"name":"The US Geological Survey","award":["G20AP00073"],"award-info":[{"award-number":["G20AP00073"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,8,23]]},"DOI":"10.1145\/3394486.3403272","type":"proceedings-article","created":{"date-parts":[[2020,8,20]],"date-time":"2020-08-20T23:15:22Z","timestamp":1597965322000},"page":"2214-2224","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":29,"title":["CurvaNet: Geometric Deep Learning based on Directional Curvature for 3D Shape Analysis"],"prefix":"10.1145","author":[{"given":"Wenchong","family":"He","sequence":"first","affiliation":[{"name":"University of Alabama, Tuscaloosa, AL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhe","family":"Jiang","sequence":"additional","affiliation":[{"name":"University of Alabama, Tuscaloosa, AL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chengming","family":"Zhang","sequence":"additional","affiliation":[{"name":"University of Alabama, Tuscaloosa, AL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Arpan Man","family":"Sainju","sequence":"additional","affiliation":[{"name":"University of Alabama, Tuscaloosa, AL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2020,8,20]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1080\/16864360.2007.10738515"},{"key":"e_1_3_2_2_2_1","volume-title":"Kseniya Cherenkova, Rig Das, Gleb Gusev, Djamila Aouada, and Bjorn Ottersten.","author":"Ahmed Eman","year":"2018","unstructured":"Eman Ahmed , Alexandre Saint , Abd El Rahman Shabayek , Kseniya Cherenkova, Rig Das, Gleb Gusev, Djamila Aouada, and Bjorn Ottersten. 2018 . A survey on Deep Learning Advances on Different 3D Data Representations . arXiv preprint arXiv:1808.01462 (2018). Eman Ahmed, Alexandre Saint, Abd El Rahman Shabayek, Kseniya Cherenkova, Rig Das, Gleb Gusev, Djamila Aouada, and Bjorn Ottersten. 2018. A survey on Deep Learning Advances on Different 3D Data Representations. arXiv preprint arXiv:1808.01462 (2018)."},{"key":"e_1_3_2_2_3_1","unstructured":"James Atwood and Don Towsley. 2016. Diffusion-convolutional neural networks. In Advances in neural information processing systems. 1993--2001.  James Atwood and Don Towsley. 2016. Diffusion-convolutional neural networks. In Advances in neural information processing systems. 1993--2001."},{"key":"e_1_3_2_2_4_1","unstructured":"Davide Boscaini Jonathan Masci Emanuele Rodol\u00e0 and Michael Bronstein. 2016a. Learning shape correspondence with anisotropic convolutional neural networks. In Advances in Neural Information Processing Systems. 3189--3197.  Davide Boscaini Jonathan Masci Emanuele Rodol\u00e0 and Michael Bronstein. 2016a. Learning shape correspondence with anisotropic convolutional neural networks. In Advances in Neural Information Processing Systems. 3189--3197."},{"key":"e_1_3_2_2_5_1","volume-title":"Computer Graphics Forum","author":"Boscaini Davide","unstructured":"Davide Boscaini , Jonathan Masci , Emanuele Rodol\u00e0 , Michael M Bronstein , and Daniel Cremers . 2016b. Anisotropic diffusion descriptors . In Computer Graphics Forum , Vol. 35 . Wiley Online Library , 431--441. Davide Boscaini, Jonathan Masci, Emanuele Rodol\u00e0, Michael M Bronstein, and Daniel Cremers. 2016b. Anisotropic diffusion descriptors. In Computer Graphics Forum, Vol. 35. Wiley Online Library, 431--441."},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2017.2693418"},{"key":"e_1_3_2_2_7_1","volume-title":"A benchmark for 3D mesh segmentation. Acm transactions on graphics (tog)","author":"Chen Xiaobai","year":"2009","unstructured":"Xiaobai Chen , Aleksey Golovinskiy , and Thomas Funkhouser . 2009. A benchmark for 3D mesh segmentation. Acm transactions on graphics (tog) , Vol. 28 , 3 ( 2009 ), 1--12. Xiaobai Chen, Aleksey Golovinskiy, and Thomas Funkhouser. 2009. A benchmark for 3D mesh segmentation. Acm transactions on graphics (tog), Vol. 28, 3 (2009), 1--12."},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330925"},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2010.5540082"},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF01890115"},{"key":"e_1_3_2_2_11_1","unstructured":"Micha\u00ebl Defferrard Xavier Bresson and Pierre Vandergheynst. 2016. Convolutional neural networks on graphs with fast localized spectral filtering. In Advances in neural information processing systems. 3844--3852.  Micha\u00ebl Defferrard Xavier Bresson and Pierre Vandergheynst. 2016. Convolutional neural networks on graphs with fast localized spectral filtering. In Advances in neural information processing systems. 3844--3852."},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2007.1115"},{"key":"e_1_3_2_2_13_1","volume-title":"3-D mapping with an RGB-D camera","author":"Endres Felix","year":"2013","unstructured":"Felix Endres , J\u00fcrgen Hess , J\u00fcrgen Sturm , Daniel Cremers , and Wolfram Burgard . 2013. 3-D mapping with an RGB-D camera . IEEE transactions on robotics, Vol. 30 , 1 ( 2013 ), 177--187. Felix Endres, J\u00fcrgen Hess, J\u00fcrgen Sturm, Daniel Cremers, and Wolfram Burgard. 2013. 3-D mapping with an RGB-D camera. IEEE transactions on robotics, Vol. 30, 1 (2013), 177--187."},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298845"},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33018279"},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00097"},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41592-019-0666-6"},{"key":"e_1_3_2_2_18_1","volume-title":"arXiv preprint arXiv:1905.05178","author":"Gao Hongyang","year":"2019","unstructured":"Hongyang Gao and Shuiwang Ji. 2019. Graph U- Nets . arXiv preprint arXiv:1905.05178 ( 2019 ). Hongyang Gao and Shuiwang Ji. 2019. Graph U-Nets. arXiv preprint arXiv:1905.05178 (2019)."},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219947"},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/258734.258849"},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/2835487"},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/3306346.3322959"},{"key":"e_1_3_2_2_23_1","volume-title":"Semi-supervised classification with graph convolutional networks. arXiv preprint arXiv:1609.02907","author":"Kipf Thomas N","year":"2016","unstructured":"Thomas N Kipf and Max Welling . 2016. Semi-supervised classification with graph convolutional networks. arXiv preprint arXiv:1609.02907 ( 2016 ). Thomas N Kipf and Max Welling. 2016. Semi-supervised classification with graph convolutional networks. arXiv preprint arXiv:1609.02907 (2016)."},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00983"},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330982"},{"key":"e_1_3_2_2_26_1","unstructured":"Jean-Luc Mari Sophie Viseur Sylvain Bouley Martin-Pierre Schmidt Jennifer Muscato Florian Beguet Sarah Bali and Laurent Jorda. 2018. Robust detection of circular shapes on 3D meshes based on discrete curvatures-Application to impact craters recognition.  Jean-Luc Mari Sophie Viseur Sylvain Bouley Martin-Pierre Schmidt Jennifer Muscato Florian Beguet Sarah Bali and Laurent Jorda. 2018. Robust detection of circular shapes on 3D meshes based on discrete curvatures-Application to impact craters recognition."},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2015.112"},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2004.03.012"},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.576"},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.1109\/34.598226"},{"key":"e_1_3_2_2_31_1","volume-title":"Computer Graphics Forum","author":"Rocchini CMPPC","unstructured":"CMPPC Rocchini , Paulo Cignoni , Claudio Montani , Paolo Pingi , and Roberto Scopigno . 2001. A low cost 3D scanner based on structured light . In Computer Graphics Forum , Vol. 20 . Wiley Online Library , 299--308. CMPPC Rocchini, Paulo Cignoni, Claudio Montani, Paolo Pingi, and Roberto Scopigno. 2001. A low cost 3D scanner based on structured light. In Computer Graphics Forum, Vol. 20. Wiley Online Library, 299--308."},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"e_1_3_2_2_33_1","volume-title":"Computer Graphics Forum","author":"Rostami Reihaneh","unstructured":"Reihaneh Rostami , Fereshteh S Bashiri , Behrouz Rostami , and Zeyun Yu. 2019. A Survey on Data-Driven 3D Shape Descriptors . In Computer Graphics Forum , Vol. 38 . Wiley Online Library , 356--393. Reihaneh Rostami, Fereshteh S Bashiri, Behrouz Rostami, and Zeyun Yu. 2019. A Survey on Data-Driven 3D Shape Descriptors. In Computer Graphics Forum, Vol. 38. Wiley Online Library, 356--393."},{"key":"e_1_3_2_2_34_1","first-page":"37","article-title":"3d image processing for the study of the evolution of the shape of the human skull: presentation of the tools and preliminary results","volume":"1049","author":"Subsol G\u00e9rard","year":"2002","unstructured":"G\u00e9rard Subsol , Bertrand Mafart , Alain Silvestre , Marie-Antoinette de Lumley , and H Delingette . 2002 . 3d image processing for the study of the evolution of the shape of the human skull: presentation of the tools and preliminary results . Three-Dimensional Imaging in Paleoanthropology and Prehistoric Archaeology , Vol. 1049 (2002), 37 -- 45 . G\u00e9rard Subsol, Bertrand Mafart, Alain Silvestre, Marie-Antoinette de Lumley, and H Delingette. 2002. 3d image processing for the study of the evolution of the shape of the human skull: presentation of the tools and preliminary results. Three-Dimensional Imaging in Paleoanthropology and Prehistoric Archaeology, Vol. 1049 (2002), 37--45.","journal-title":"Three-Dimensional Imaging in Paleoanthropology and Prehistoric Archaeology"},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.1109\/AFGR.1998.670977"},{"key":"e_1_3_2_2_36_1","volume-title":"Graph attention networks. arXiv preprint arXiv:1710.10903","author":"Petar Velivc","year":"2017","unstructured":"Petar Velivc kovi\u0107, Guillem Cucurull , Arantxa Casanova , Adriana Romero , Pietro Lio , and Yoshua Bengio . 2017. Graph attention networks. arXiv preprint arXiv:1710.10903 ( 2017 ). Petar Velivc kovi\u0107, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Lio, and Yoshua Bengio. 2017. Graph attention networks. arXiv preprint arXiv:1710.10903 (2017)."},{"key":"e_1_3_2_2_37_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00275"},{"key":"e_1_3_2_2_38_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3272127.3275050","article-title":"Adaptive O-CNN: A patch-based deep representation of 3D shapes","volume":"37","author":"Wang Peng-Shuai","year":"2018","unstructured":"Peng-Shuai Wang , Chun-Yu Sun , Yang Liu , and Xin Tong . 2018 . Adaptive O-CNN: A patch-based deep representation of 3D shapes . ACM Transactions on Graphics (TOG) , Vol. 37 , 6 (2018), 1 -- 11 . Peng-Shuai Wang, Chun-Yu Sun, Yang Liu, and Xin Tong. 2018. Adaptive O-CNN: A patch-based deep representation of 3D shapes. ACM Transactions on Graphics (TOG), Vol. 37, 6 (2018), 1--11.","journal-title":"ACM Transactions on Graphics (TOG)"},{"key":"e_1_3_2_2_39_1","volume-title":"A comprehensive survey on graph neural networks. arXiv preprint arXiv:1901.00596","author":"Wu Zonghan","year":"2019","unstructured":"Zonghan Wu , Shirui Pan , Fengwen Chen , Guodong Long , Chengqi Zhang , and Philip S Yu. 2019. A comprehensive survey on graph neural networks. arXiv preprint arXiv:1901.00596 ( 2019 ). Zonghan Wu, Shirui Pan, Fengwen Chen, Guodong Long, Chengqi Zhang, and Philip S Yu. 2019. A comprehensive survey on graph neural networks. arXiv preprint arXiv:1901.00596 (2019)."},{"key":"e_1_3_2_2_40_1","unstructured":"Zhitao Ying Jiaxuan You Christopher Morris Xiang Ren Will Hamilton and Jure Leskovec. 2018. Hierarchical graph representation learning with differentiable pooling. In Advances in Neural Information Processing Systems. 4800--4810.  Zhitao Ying Jiaxuan You Christopher Morris Xiang Ren Will Hamilton and Jure Leskovec. 2018. Hierarchical graph representation learning with differentiable pooling. In Advances in Neural Information Processing Systems. 4800--4810."},{"key":"e_1_3_2_2_41_1","volume-title":"Deep learning on graphs: A survey. arXiv preprint arXiv:1812.04202","author":"Zhang Ziwei","year":"2018","unstructured":"Ziwei Zhang , Peng Cui , and Wenwu Zhu . 2018. Deep learning on graphs: A survey. arXiv preprint arXiv:1812.04202 ( 2018 ). Ziwei Zhang, Peng Cui, and Wenwu Zhu. 2018. Deep learning on graphs: A survey. arXiv preprint arXiv:1812.04202 (2018)."},{"key":"e_1_3_2_2_42_1","volume-title":"Graph neural networks: A review of methods and applications. arXiv preprint arXiv:1812.08434","author":"Zhou Jie","year":"2018","unstructured":"Jie Zhou , Ganqu Cui , Zhengyan Zhang , Cheng Yang , Zhiyuan Liu , Lifeng Wang , Changcheng Li , and Maosong Sun . 2018. Graph neural networks: A review of methods and applications. arXiv preprint arXiv:1812.08434 ( 2018 ). Jie Zhou, Ganqu Cui, Zhengyan Zhang, Cheng Yang, Zhiyuan Liu, Lifeng Wang, Changcheng Li, and Maosong Sun. 2018. Graph neural networks: A review of methods and applications. arXiv preprint arXiv:1812.08434 (2018)."}],"event":{"name":"KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","location":"Virtual Event CA USA","acronym":"KDD '20","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data"]},"container-title":["Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery &amp; Data Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3394486.3403272","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3394486.3403272","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3394486.3403272","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:01:47Z","timestamp":1750197707000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3394486.3403272"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,8,20]]},"references-count":42,"alternative-id":["10.1145\/3394486.3403272","10.1145\/3394486"],"URL":"https:\/\/doi.org\/10.1145\/3394486.3403272","relation":{},"subject":[],"published":{"date-parts":[[2020,8,20]]},"assertion":[{"value":"2020-08-20","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}