15,411 to 15,420 of 15,542 Results
Network Common Data Form - 2.8 GB -
MD5: 12db86e7d5c137ea7d62f46e32d87239
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Network Common Data Form - 2.8 GB -
MD5: 5e999ccf0783ff4f97edb8c12d91d0ef
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Network Common Data Form - 2.8 GB -
MD5: ca077a79ba5080ddc9d9338ec72093d9
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Network Common Data Form - 2.8 GB -
MD5: 1b0a147fb0eae7ce887358af66f90aa3
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Network Common Data Form - 288.2 MB -
MD5: 8962175e19a2fc07c7e060e49c800128
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Network Common Data Form - 288.2 MB -
MD5: b2ff77c8b11d2e5c351f38dfb2a78513
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Network Common Data Form - 288.2 MB -
MD5: b1d42e802079aab7f1ee9feed3b83a0c
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Network Common Data Form - 288.2 MB -
MD5: ced31b15d9249f015cf03dc71681320a
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Mar 16, 2021 -
History mining: the use of computing to study the writing of history in the Southern Cone (1922-1940)
MS Excel Spreadsheet - 786.4 KB -
MD5: 5a92b9b3d15abe80c90022dcd1a39fd1
Contains information about historiography searches in digital historical collections: collection, page, search term and book name |
Mar 1, 2021 - Exatas
Saire Pilco, Darwin Danilo; Ramirez Rivera, Gerberth Adin, 2021, "Graph Learning Network (GLN)", https://doi.org/10.25824/redu/B3XYDD, Repositório de Dados de Pesquisa da Unicamp, V1
GLN creates a set of node embeddings H(l) that are later combined to produce an intermediary representation H_int(l). Then, we use the updated node information with the adjacency information to produce a local embedding of the nodes' information H_local(l) that is also the output... |
