graph generation

Disentangled Spatiotemporal Graph Generative Models AAAI 2022 Explanation Graph Generation via Pre-trained Language Models: An Empirical Study with Contrastive Learning ACL 2022 First Hitting Diffusion Models for Generating Manifold, Graph and Categorical Data NeurIPS 2022 G-Mixup: Graph Data Augmentation for Graph Classification ICML 2022 GraDA: Graph Generative Data Augmentation for Commonsense Reasoning NAACL 2022 Graph annotation generative adversarial networks ACML 2022 Knowledge Graph Generation From Text EMNLP 2022 Language Models of Code are Few-Shot Commonsense Learners EMNLP 2022 Micro and Macro Level Graph Modeling for Graph Variational Auto-Encoders NeurIPS 2022 Modular Flows: Differential Molecular Generation NeurIPS 2022 Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations ICML 2022 Spanning Tree-based Graph Generation for Molecules ICLR 2022 SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators ICML 2022 TD-GEN: Graph Generation Using Tree Decomposition AISTATS 2022 TIGGER: Scalable Generative Modelling for Temporal Interaction Graphs AAAI 2022 Top-N: Equivariant Set and Graph Generation without Exchangeability ICLR 2022 VarScene: A Deep Generative Model for Realistic Scene Graph Synthesis ICML 2022 Categorical Normalizing Flows via Continuous Transformations ICLR 2021 Cost-aware Graph Generation: A Deep Bayesian Optimization Approach AAAI 2021 DIG: A Turnkey Library for Diving into Graph Deep Learning Research JMLR 2021 ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoning EMNLP 2021 HDMapGen: A Hierarchical Graph Generative Model of High Definition Maps CVPR 2021 Improving Query Graph Generation for Complex Question Answering over Knowledge Base EMNLP 2021 In-game Residential Home Planning via Visual Context-aware Global Relation Learning AAAI 2021 Neural Language Modeling for Contextualized Temporal Graph Generation NAACL 2021