Výsledky vyhledávání - "Graph variational autoencoder"

The Deep Zero-Inflated Latent Position Block Model for the Clustering of Nodes in Graphs

Autoři: Niang, Seydina Ousmane Bouveyron, Charles Corneli, Marco a další

Přispěvatelé: Niang, Seydina Ousmane Bouveyron, Charles Corneli, Marco a další

Témata: Auto-encodeur variationnel pour graphe, [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], Graph visualization, Graph variational autoencoder, Zero-inflated Poisson, [MATH] Mathematics [math], Block modelling, Clustering de nœuds, Nodes clustering, Zero-inflatted Poisson, Mod´elisation par blocs, [MATH.MATH-ST] Mathematics [math]/Statistics [math.ST], [PHYS.PHYS.PHYS-DATA-AN] Physics [physics]/Physics [physics]/Data Analysis, Statistics and Probability [physics.data-an], Visualisation de graphes

Popis souboru: application/pdf

Přístupová URL adresa: https://hal.science/hal-04947021v2

piRNA-disease association prediction based on multi-channel graph variational autoencoder

Autoři: Wei Sun Chang Guo Jing Wan a další

Zdroj: PeerJ Computer Science, Vol 10, p e2216 (2024)

Témata: piRNA-disease association prediction, Graph variational autoencoder, Graph convolution network, Homogeneous similarity networks, Multi channel, Electronic computers. Computer science, QA75.5-76.95

Popis souboru: electronic resource

Relation: https://peerj.com/articles/cs-2216.pdf; https://peerj.com/articles/cs-2216/; https://doaj.org/toc/2376-5992

Přístupová URL adresa: https://doaj.org/article/f83e553177a94c6aad107f2cae0baa56

Compressed graph representation for scalable molecular graph generation

Autoři: Youngchun Kwon Dongseon Lee Youn-Suk Choi a další

Zdroj: Journal of Cheminformatics, Vol 12, Iss 1, Pp 1-8 (2020)

Témata: Molecular graph generation, Compressed graph representation, Graph variational autoencoder, Deep learning, Information technology, T58.5-58.64, Chemistry, QD1-999

Popis souboru: electronic resource

Relation: http://link.springer.com/article/10.1186/s13321-020-00463-2; https://doaj.org/toc/1758-2946

Přístupová URL adresa: https://doaj.org/article/08e4171195b04feabe251a39ec08e2b1

Malware detection framework based on graph variational autoencoder extracted embeddings from API-call graphs

Autoři: Hakan Gunduz

Zdroj: PeerJ Computer Science, Vol 8, p e988 (2022)

Témata: Malware detection, Recursive Feature Elimination, Graph Variational Autoencoder, Graph embeddings, API-call graphs, Electronic computers. Computer science, QA75.5-76.95

Popis souboru: electronic resource

Relation: https://peerj.com/articles/cs-988.pdf; https://peerj.com/articles/cs-988/; https://doaj.org/toc/2376-5992

Přístupová URL adresa: https://doaj.org/article/0f80ca246aec48eb95ec0d5b168998e5

Vergleich verschiedener Variationaler Autencoder-Konzepte zur Generierung effektiver Molekülrepräsentationen von niedermolekularen organischen Verbindungen

Autoři: Szablowski, Darius Neitzke, Michael

Přispěvatelé: Szablowski, Darius Neitzke, Michael

Témata: Variationale Autoencoder, niedermolekulare organische Verbindungen, VAE, SMILES, Chem- VAE, fragmentbasiertes Deep-Generatives-Model, Constrained Graph Variational Autoencoder, CGVAE, 004: Informatik, ddc:004

Popis souboru: application/pdf

Relation: https://hdl.handle.net/20.500.12738/16162

Dostupnost: https://hdl.handle.net/20.500.12738/16162

COMPREHENSIVE STUDY OF GENERATIVE METHODS ON DRUG DISCOVERY

Autoři: Xiu, Siyu Huang, Junzhou

Přispěvatelé: Xiu, Siyu Huang, Junzhou

Témata: Deep learning, Drug discovery, Variational autoEncoder, Grammar variational autoEncoder, Syntax-directed variational autoEncoder, Junction tree variational autoEncoder, Graph variational autoEncoder

Popis souboru: application/pdf

Relation: http://hdl.handle.net/10106/28884

Dostupnost: http://hdl.handle.net/10106/28884