{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,23]],"date-time":"2025-08-23T05:24:56Z","timestamp":1755926696034,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":21,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,7,27]],"date-time":"2022-07-27T00:00:00Z","timestamp":1658880000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"US department of energy","award":["DE-AC05-00OR22725"],"award-info":[{"award-number":["DE-AC05-00OR22725"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,7,27]]},"DOI":"10.1145\/3546790.3546821","type":"proceedings-article","created":{"date-parts":[[2022,9,8]],"date-time":"2022-09-08T04:10:51Z","timestamp":1662610251000},"page":"1-4","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":10,"title":["Semi-Supervised Graph Structure Learning on Neuromorphic Computers"],"prefix":"10.1145","author":[{"given":"Guojing","family":"Cong","sequence":"first","affiliation":[{"name":"Oak Ridge National Laboratory, USA"}]},{"given":"Seung-Hwan","family":"Lim","sequence":"additional","affiliation":[{"name":"Oak Ridge National Laboratory, USA"}]},{"given":"Shruti","family":"Kulkarni","sequence":"additional","affiliation":[{"name":"Oak Ridge National Laboratory, USA"}]},{"given":"Prasanna","family":"Date","sequence":"additional","affiliation":[{"name":"Oak Ridge National Laboratory, USA"}]},{"given":"Thomas","family":"Potok","sequence":"additional","affiliation":[{"name":"Oak Ridge National Laboratory, USA"}]},{"given":"Shay","family":"Snyder","sequence":"additional","affiliation":[{"name":"East Tennessee State University, USA"}]},{"given":"Maryam","family":"Parsa","sequence":"additional","affiliation":[{"name":"George Mason University, USA"}]},{"given":"Catherine","family":"Schuman","sequence":"additional","affiliation":[{"name":"University of Tennessee, USA"}]}],"member":"320","published-online":{"date-parts":[[2022,9,7]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Proceedings of the 32nd International Conference on Neural Information Processing Systems","author":"Abu-El-Haija Rami","year":"2018","unstructured":"Rami Abu-El-Haija , Bryan Perozzi , Rami Al-Rfou , and Alex Alemi . 2018 . Watch Your Step: Learning Node Embeddings via Graph Attention . In Proceedings of the 32nd International Conference on Neural Information Processing Systems ( Montr\u00e9al, Canada) (NIPS\u201918). Curran Associates Inc., Red Hook, NY, USA, 9198\u20139208. Rami Abu-El-Haija, Bryan Perozzi, Rami Al-Rfou, and Alex Alemi. 2018. Watch Your Step: Learning Node Embeddings via Graph Attention. In Proceedings of the 32nd International Conference on Neural Information Processing Systems(Montr\u00e9al, Canada) (NIPS\u201918). Curran Associates Inc., Red Hook, NY, USA, 9198\u20139208."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/3350755.3400258"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397536.3422257"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDMW53433.2021.00088"},{"key":"#cr-split#-e_1_3_2_1_5_1.1","unstructured":"Robin de Schepper Jochen\u00a0Martin Eppler Anno Kurth Pooja Nagendra\u00a0Babu Rajalekshmi Deepu Sebastian Spreizer Guido Trensch Jari Pronold Stine\u00a0Brekke Vennemo Steffen Graber Aitor Morales-Gregorio Charl Linssen Mohamed\u00a0Ayssar Benelhedi H\u00e5kon M\u00f8rk Abigail Morrison Dennis Terhorst Jessica Mitchell Sandra Diaz Itaru Kitayama Mahdi Enan Nilton\u00a0Liuji Kamiji and Hans\u00a0Ekkehard Plesser. 2022. NEST 3.2. https:\/\/doi.org\/10.5281\/zenodo.5886894 10.5281\/zenodo.5886894"},{"key":"#cr-split#-e_1_3_2_1_5_1.2","unstructured":"Robin de Schepper Jochen\u00a0Martin Eppler Anno Kurth Pooja Nagendra\u00a0Babu Rajalekshmi Deepu Sebastian Spreizer Guido Trensch Jari Pronold Stine\u00a0Brekke Vennemo Steffen Graber Aitor Morales-Gregorio Charl Linssen Mohamed\u00a0Ayssar Benelhedi H\u00e5kon M\u00f8rk Abigail Morrison Dennis Terhorst Jessica Mitchell Sandra Diaz Itaru Kitayama Mahdi Enan Nilton\u00a0Liuji Kamiji and Hans\u00a0Ekkehard Plesser. 2022. NEST 3.2. https:\/\/doi.org\/10.5281\/zenodo.5886894"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939754"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.5555\/3294771.3294869"},{"key":"e_1_3_2_1_8_1","volume-title":"Optimization of Graph Neural Networks with Natural Gradient Descent. In 2020 IEEE International Conference on Big Data (Big Data). 171\u2013179","author":"Izadi R.","year":"2020","unstructured":"Mohammad\u00a0 R. Izadi , Yihao Fang , Robert Stevenson , and Lizhen Lin . 2020 . Optimization of Graph Neural Networks with Natural Gradient Descent. In 2020 IEEE International Conference on Big Data (Big Data). 171\u2013179 . https:\/\/doi.org\/10.1109\/BigData50022.2020.9378063 10.1109\/BigData50022.2020.9378063 Mohammad\u00a0R. Izadi, Yihao Fang, Robert Stevenson, and Lizhen Lin. 2020. Optimization of Graph Neural Networks with Natural Gradient Descent. In 2020 IEEE International Conference on Big Data (Big Data). 171\u2013179. https:\/\/doi.org\/10.1109\/BigData50022.2020.9378063"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3381755.3381762"},{"volume-title":"Proceedings of the 5th International Conference on Learning Representations (Palais des Congr\u00e8s Neptune","author":"N.","key":"e_1_3_2_1_10_1","unstructured":"Thomas\u00a0 N. Kipf and Max Welling. 2017. Semi-Supervised Classification with Graph Convolutional Networks . In Proceedings of the 5th International Conference on Learning Representations (Palais des Congr\u00e8s Neptune , Toulon, France) (ICLR \u201917). https:\/\/openreview.net\/forum?id=SJU4ayYgl Thomas\u00a0N. Kipf and Max Welling. 2017. Semi-Supervised Classification with Graph Convolutional Networks. In Proceedings of the 5th International Conference on Learning Representations (Palais des Congr\u00e8s Neptune, Toulon, France) (ICLR \u201917). https:\/\/openreview.net\/forum?id=SJU4ayYgl"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/3320288.3320290"},{"key":"e_1_3_2_1_12_1","unstructured":"Catherine\u00a0D Schuman Thomas\u00a0E Potok Robert\u00a0M Patton J\u00a0Douglas Birdwell Mark\u00a0E Dean Garrett\u00a0S Rose and James\u00a0S Plank. 2017. A survey of neuromorphic computing and neural networks in hardware. arXiv preprint arXiv:1705.06963(2017).  Catherine\u00a0D Schuman Thomas\u00a0E Potok Robert\u00a0M Patton J\u00a0Douglas Birdwell Mark\u00a0E Dean Garrett\u00a0S Rose and James\u00a0S Plank. 2017. A survey of neuromorphic computing and neural networks in hardware. arXiv preprint arXiv:1705.06963(2017)."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1609\/aimag.v29i3.2157"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1609\/aimag.v29i3.2157"},{"key":"e_1_3_2_1_15_1","volume-title":"2019. Graph convolutional networks for computational drug development and discovery. Briefings in Bioinformatics 21, 3 (06","author":"Sun Mengying","year":"2019","unstructured":"Mengying Sun , Sendong Zhao , Coryandar Gilvary , and 2019. Graph convolutional networks for computational drug development and discovery. Briefings in Bioinformatics 21, 3 (06 2019 ), 919\u2013935. https:\/\/doi.org\/10.1093\/bib\/bbz042 arXiv:https:\/\/academic.oup.com\/bib\/article-pdf\/21\/3\/919\/33227266\/bbz042.pdf 10.1093\/bib Mengying Sun, Sendong Zhao, Coryandar Gilvary, and et al.2019. Graph convolutional networks for computational drug development and discovery. Briefings in Bioinformatics 21, 3 (06 2019), 919\u2013935. https:\/\/doi.org\/10.1093\/bib\/bbz042 arXiv:https:\/\/academic.oup.com\/bib\/article-pdf\/21\/3\/919\/33227266\/bbz042.pdf"},{"key":"e_1_3_2_1_16_1","volume-title":"Graph Attention Networks. 6th International Conference on Learning Representations","author":"Veli\u010dkovi\u0107 Petar","year":"2017","unstructured":"Petar Veli\u010dkovi\u0107 , Guillem Cucurull , Arantxa Casanova , and et al.2017 . Graph Attention Networks. 6th International Conference on Learning Representations ( 2017 ). Petar Veli\u010dkovi\u0107, Guillem Cucurull, Arantxa Casanova, and et al.2017. Graph Attention Networks. 6th International Conference on Learning Representations (2017)."},{"key":"e_1_3_2_1_17_1","unstructured":"Hongwei Wang and Jure Leskovec. 2020. Unifying Graph Convolutional Neural Networks and Label Propagation. CoRR abs\/2002.06755(2020). arxiv:2002.06755https:\/\/arxiv.org\/abs\/2002.06755  Hongwei Wang and Jure Leskovec. 2020. Unifying Graph Convolutional Neural Networks and Label Propagation. CoRR abs\/2002.06755(2020). arxiv:2002.06755https:\/\/arxiv.org\/abs\/2002.06755"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevLett.120.145301"},{"key":"e_1_3_2_1_19_1","volume-title":"Proceedings of the 33rd International Conference on International Conference on Machine Learning -","volume":"48","author":"Yang Zhilin","year":"2016","unstructured":"Zhilin Yang , William\u00a0 W. Cohen , and Ruslan Salakhutdinov . 2016 . Revisiting Semi-Supervised Learning with Graph Embeddings . In Proceedings of the 33rd International Conference on International Conference on Machine Learning - Volume 48 (New York, NY, USA) (ICML\u201916). JMLR.org, 40\u201348. Zhilin Yang, William\u00a0W. Cohen, and Ruslan Salakhutdinov. 2016. Revisiting Semi-Supervised Learning with Graph Embeddings. In Proceedings of the 33rd International Conference on International Conference on Machine Learning - Volume 48 (New York, NY, USA) (ICML\u201916). JMLR.org, 40\u201348."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"crossref","unstructured":"Liang Yao Chengsheng Mao and Yuan Luo. 2019. Graph Convolutional Networks for Text Classification. In AAAI.  Liang Yao Chengsheng Mao and Yuan Luo. 2019. Graph Convolutional Networks for Text Classification. In AAAI.","DOI":"10.1609\/aaai.v33i01.33017370"}],"event":{"name":"ICONS: International Conference on Neuromorphic Systems","acronym":"ICONS","location":"Knoxville TN USA"},"container-title":["Proceedings of the International Conference on Neuromorphic Systems 2022"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3546790.3546821","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3546790.3546821","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:00:40Z","timestamp":1750186840000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3546790.3546821"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,27]]},"references-count":21,"alternative-id":["10.1145\/3546790.3546821","10.1145\/3546790"],"URL":"https:\/\/doi.org\/10.1145\/3546790.3546821","relation":{},"subject":[],"published":{"date-parts":[[2022,7,27]]},"assertion":[{"value":"2022-09-07","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}