Learning Deep Generative Models of Graphs (ICML 2018) - Yujia Li, Oriol Vinyals, Chris Dyer, Razvan Pascanu, Peter Battaglia
Deep Generative Spatial Models for Mobile Robots - Andrzej Pronobis
論文紹介: "MolGAN: An implicit generative model for small molecular graph…
Live from ICML 2019 in Long Beach, this session on Deep Generative Models includes paper presentations: • State-Reification Networks: Improving... | By International Conference on Machine Learning | Facebook
PDF] Learning Deep Generative Models of Graphs | Semantic Scholar
Deep Generative Models for Graphs:
PDF] Learning Deep Generative Models of Graphs | Semantic Scholar
A Deep Generative Model for Graph Layout
Scalable Deep Generative Modeling for Sparse Graphs
DL Hacks輪読 Semi-supervised Learning with Deep Generative Models
PDF] Learning Deep Generative Models of Graphs | Semantic Scholar
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models
Generative Models for Graphs
Frontiers | Generative Models of Brain Dynamics
Generative Models for Graphs
PDF) A Systematic Survey on Deep Generative Models for Graph Generation
A Systematic Survey on Deep Generative Models for Graph Generation
Protein design and variant prediction using autoregressive generative models | Nature Communications
CS224W: Machine Learning with Graphs | 2021 | Lecture 15.1 - Deep Generative Models for Graphs - YouTube