graph generation

On the Power of Edge Independent Graph Models NeurIPS 2021 Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation ICML 2021 Permutation-Invariant Variational Autoencoder for Graph-Level Representation Learning NeurIPS 2021 Randomized Generation of Adversary-aware Fake Knowledge Graphs to Combat Intellectual Property Theft AAAI 2021 Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets ICLR 2021 Roof-GAN: Learning To Generate Roof Geometry and Relations for Residential Houses CVPR 2021 Secure Deep Graph Generation with Link Differential Privacy IJCAI 2021 Unconditional Scene Graph Generation ICCV 2021 Accurate polyglot semantic parsing with DAG grammars EMNLP 2020 Dirichlet Graph Variational Autoencoder NeurIPS 2020 Effective Decoding in Graph Auto-Encoder Using Triadic Closure AAAI 2020 Formal Query Building with Query Structure Prediction for Complex Question Answering over Knowledge Base IJCAI 2020 GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation ICLR 2020 Hierarchical Generation of Molecular Graphs using Structural Motifs ICML 2020 Multi-Objective Molecule Generation using Interpretable Substructures ICML 2020 NetGAN without GAN: From Random Walks to Low-Rank Approximations ICML 2020 Permutation Invariant Graph Generation via Score-Based Generative Modeling AISTATS 2020 Scalable Deep Generative Modeling for Sparse Graphs ICML 2020 An End-To-End Network for Generating Social Relationship Graphs CVPR 2019 Conditional Structure Generation through Graph Variational Generative Adversarial Nets NeurIPS 2019 Discrete Object Generation with Reversible Inductive Construction NeurIPS 2019 Efficient Graph Generation with Graph Recurrent Attention Networks NeurIPS 2019 Graph Normalizing Flows NeurIPS 2019 NeVAE: A Deep Generative Model for Molecular Graphs AAAI 2019 A Note on Quickly Sampling a Sparse Matrix with Low Rank Expectation JMLR 2018