zvon Mlaştină scrie o scrisoare learning deep generative models of graphs open review Retragere Universitate Blândeţe
A Systematic Survey on Deep Generative Models for Graph Generation
A Systematic Survey on Deep Generative Models for Graph Generation
Applied Sciences | Free Full-Text | Generative Model Using Knowledge Graph for Document-Grounded Conversations | HTML
PDF] Learning Deep Generative Models of Graphs | Semantic Scholar
Generative models for inverse design of inorganic solid materials
Protein design and variant prediction using autoregressive generative models | Nature Communications
Generative chemistry: drug discovery with deep learning generative models | SpringerLink
Frontiers | Misc-GAN: A Multi-scale Generative Model for Graphs
L-MolGAN: An improved implicit generative model for large molecular graphs | Theoretical and Computational Chemistry | ChemRxiv | Cambridge Open Engage
PDF] Learning Deep Generative Models of Graphs | Semantic Scholar
Current progress and open challenges for applying deep learning across the biosciences | Nature Communications
Structured deep generative models for sampling on constraint manifolds in sequential manipulation | OpenReview
Deep Generative Models & Unsupervised Machine Learning | by SHAMIT BAGCHI | Medium
Generative machine learning for de novo drug discovery: A systematic review - ScienceDirect
De novo design with deep generative models based on 3D similarity scoring - ScienceDirect