graph generation

MIDGARD: Self-Consistency Using Minimum Description Length for Structured Commonsense Reasoning ACL 2024 Pard: Permutation-Invariant Autoregressive Diffusion for Graph Generation NeurIPS 2024 PiVe: Prompting with Iterative Verification Improving Graph-based Generative Capability of LLMs ACL 2024 Set-Aligning Framework for Auto-Regressive Event Temporal Graph Generation NAACL 2024 Unifying Generation and Prediction on Graphs with Latent Graph Diffusion NeurIPS 2024 Variational Flow Matching for Graph Generation NeurIPS 2024 A Diffusion Model for Event Skeleton Generation ACL 2023 An Unpooling Layer for Graph Generation AISTATS 2023 A Semi-Autoregressive Graph Generative Model for Dependency Graph Parsing ACL 2023 Autoregressive Diffusion Model for Graph Generation ICML 2023 DiGress: Discrete Denoising diffusion for graph generation ICLR 2023 Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling ICML 2023 GEMS: Scene Expansion Using Generative Models of Graphs WACV 2023 Generative Diffusion Models on Graphs: Methods and Applications IJCAI 2023 Generative Graph Dictionary Learning ICML 2023 Gradient-Guided Importance Sampling for Learning Binary Energy-Based Models ICLR 2023 Graph Generative Model for Benchmarking Graph Neural Networks ICML 2023 Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities IJCAI 2023 Graph Transformer GANs for Graph-Constrained House Generation CVPR 2023 Implicit Graphon Neural Representation AISTATS 2023 Improving Graph Generation by Restricting Graph Bandwidth ICML 2023 Multi-resolution Spectral Coherence for Graph Generation with Score-based Diffusion NeurIPS 2023 Neural Graph Generation from Graph Statistics NeurIPS 2023 An efficient graph generative model for navigating ultra-large combinatorial synthesis libraries NeurIPS 2022 Deep Generative Model for Periodic Graphs NeurIPS 2022