{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:23:25Z","timestamp":1740101005915,"version":"3.37.3"},"reference-count":39,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T00:00:00Z","timestamp":1658102400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T00:00:00Z","timestamp":1658102400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,7,18]]},"DOI":"10.1109\/ijcnn55064.2022.9892300","type":"proceedings-article","created":{"date-parts":[[2022,9,30]],"date-time":"2022-09-30T19:56:04Z","timestamp":1664567764000},"page":"01-08","source":"Crossref","is-referenced-by-count":0,"title":["Symbolic Hyperdimensional Vectors with Sparse Graph Convolutional Neural Networks"],"prefix":"10.1109","author":[{"given":"Filip","family":"Cornell","sequence":"first","affiliation":[{"name":"School of Electrical Engineering and Computer Science KTH Royal Institute of Technology & Gavagai,Stockholm,Sweden"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4042-4919","authenticated-orcid":false,"given":"Jussi","family":"Karlgren","sequence":"additional","affiliation":[{"name":"Gavagai,Stockholm,Sweden"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"family":"Animesh","sequence":"additional","affiliation":[{"name":"Indian Institute of Technology, Kharagpur,Centre of Excellence in Artificial Intelligence,Kharagpur,India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sarunas","family":"Girdzijauskas","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering and Computer Science KTH Royal Institute of Technology,Stockholm,Sweden"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/S0031-3203(96)00142-2"},{"key":"ref38","article-title":"Variational graph auto-encoders","author":"kipf","year":"0","journal-title":"Workshop on Bayesian Deep Learning NIPS"},{"key":"ref33","article-title":"Stochastic optimization","author":"glynn","year":"2015","journal-title":"Published as a conference paper at the 3rd International Conference for Learning Representations"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2018.2879624"},{"key":"ref31","first-page":"40","article-title":"Revisiting semi-supervised learning with graph embeddings","author":"yang","year":"0","journal-title":"International Conference on Machine Learning"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1609\/aimag.v29i3.2157"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482215"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2021.3111997"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32520-6_22"},{"key":"ref34","first-page":"1929","article-title":"Dropout: A simple way to prevent neural networks from overfitting","volume":"15","author":"srivastava","year":"2014","journal-title":"The Journal of Machine Learning Research"},{"key":"ref10","doi-asserted-by":"crossref","DOI":"10.1090\/conm\/026\/737400","article-title":"Extensions of Lipschitz mappings into a Hilbert space 26","volume":"26","author":"johnson","year":"1984","journal-title":"Contemp Math"},{"journal-title":"Sparse Distributed Memory","year":"1988","author":"kanerva","key":"ref11"},{"key":"ref12","article-title":"Random indexing of text samples for latent semantic analysis","volume":"22","author":"kanerva","year":"0","journal-title":"Proceedings of the Annual Meeting of the Cognitive Science Society"},{"key":"ref13","article-title":"Computing with large random patterns","author":"kanerva","year":"2001","journal-title":"Foundations of Real-World Intelligence"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W16-1619"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-52289-0_21"},{"key":"ref16","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1007\/s10115-016-1012-2","article-title":"Random indexing of multidimensional data","volume":"52","author":"sandin","year":"2016","journal-title":"Knowl Inf Syst"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1017\/S1351324919000226"},{"key":"ref18","article-title":"Lateral inhibition” in a fully distributed connectionist architecture","author":"levy","year":"0","journal-title":"Proceedings of the Ninth International Conference on Cognitive Modeling"},{"key":"ref19","first-page":"1","article-title":"A comparison of vector symbolic architectures","author":"schlegel","year":"2021","journal-title":"Artif Intell Rev"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN52387.2021.9533805"},{"key":"ref4","article-title":"Semi-supervised classification with graph convolutional networks","author":"kipf","year":"0","journal-title":"International Conference on Learning Representations (ICLR)"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-021-22364-0"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4899-7687-1_192"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.aiopen.2021.01.001"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3001765"},{"key":"ref5","article-title":"Inductive representation learning on large graphs","volume":"30","author":"hamilton","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref8","article-title":"The difficulty of training sparse neural networks","volume":"abs l906 10732","author":"evci","year":"2019","journal-title":"ArXiv"},{"key":"ref7","article-title":"Truly sparse neural networks at scale","author":"curci","year":"2021","journal-title":"ArXiv Preprint"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/BigData50022.2020.9378063"},{"journal-title":"SparseLinear (Software package) version 0 0 5","year":"2020","author":"vashishtha","key":"ref9"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.14778\/3421424.3421430"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pbio.3000678"},{"key":"ref22","first-page":"10","article-title":"Lassonet: Neural networks with feature sparsity","author":"lemhadri","year":"0","journal-title":"International Conference on Artificial Intelligence and Statistics"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-46466-9_18"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1098\/rspb.2005.3354"},{"key":"ref23","doi-asserted-by":"crossref","first-page":"440","DOI":"10.1038\/30918","article-title":"Collective dynamics of ‘small-world’ networks","volume":"393","author":"watts","year":"1998","journal-title":"Nature"},{"key":"ref26","first-page":"171","article-title":"Single document text summarization using random indexing and neural networks","author":"chatterjee","year":"0","journal-title":"Proceedings of the International Conference on Knowledge Engineering and Ontology Development"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00888"}],"event":{"name":"2022 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2022,7,18]]},"location":"Padua, Italy","end":{"date-parts":[[2022,7,23]]}},"container-title":["2022 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9891857\/9889787\/09892300.pdf?arnumber=9892300","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,4]],"date-time":"2022-11-04T01:26:47Z","timestamp":1667525207000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9892300\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,18]]},"references-count":39,"URL":"https:\/\/doi.org\/10.1109\/ijcnn55064.2022.9892300","relation":{},"subject":[],"published":{"date-parts":[[2022,7,18]]}}}