Suchergebnisse - "Graph Variational Autoencoder"

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

Autoren: Niang, Seydina Ousmane Bouveyron, Charles Corneli, Marco et al.

Weitere Verfasser: Niang, Seydina Ousmane Bouveyron, Charles Corneli, Marco et al.

Schlagwörter: 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

Dateibeschreibung: application/pdf

Zugangs-URL: https://hal.science/hal-04947021v2

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

Autoren: Wei Sun Chang Guo Jing Wan et al.

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

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

Dateibeschreibung: electronic resource

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

Zugangs-URL: https://doaj.org/article/f83e553177a94c6aad107f2cae0baa56

Compressed graph representation for scalable molecular graph generation

Autoren: Youngchun Kwon Dongseon Lee Youn-Suk Choi et al.

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

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

Dateibeschreibung: electronic resource

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

Zugangs-URL: https://doaj.org/article/08e4171195b04feabe251a39ec08e2b1

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

Autoren: Hakan Gunduz

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

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

Dateibeschreibung: electronic resource

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

Zugangs-URL: https://doaj.org/article/0f80ca246aec48eb95ec0d5b168998e5

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

Autoren: Szablowski, Darius Neitzke, Michael

Weitere Verfasser: Szablowski, Darius Neitzke, Michael

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

Dateibeschreibung: application/pdf

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

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

COMPREHENSIVE STUDY OF GENERATIVE METHODS ON DRUG DISCOVERY

Autoren: Xiu, Siyu Huang, Junzhou

Weitere Verfasser: Xiu, Siyu Huang, Junzhou

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

Dateibeschreibung: application/pdf

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

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