graph generative model

A Large-scale Dataset and Benchmark for Commuting Origin-Destination Flow Generation ICLR 2025 On the Role of Edge Dependency in Graph Generative Models ICML 2024 Vertical Validation: Evaluating Implicit Generative Models for Graphs on Thin Support Regions UAI 2024 Curvature Filtrations for Graph Generative Model Evaluation NeurIPS 2023 Fitting Autoregressive Graph Generative Models through Maximum Likelihood Estimation JMLR 2023 Generated Graph Detection ICML 2023 Graph Generative Model for Benchmarking Graph Neural Networks ICML 2023 GRASMOS: Graph Signage Model Selection for Gene Regulatory Networks AAAI 2023 Neural Graph Generation from Graph Statistics NeurIPS 2023 An efficient graph generative model for navigating ultra-large combinatorial synthesis libraries NeurIPS 2022 Evaluating Graph Generative Models with Contrastively Learned Features NeurIPS 2022 Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions ICLR 2022 GraDA: Graph Generative Data Augmentation for Commonsense Reasoning COLING 2022 On Evaluation Metrics for Graph Generative Models ICLR 2022 Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation ICML 2021 Multi-Objective Molecule Generation using Interpretable Substructures ICML 2020 Edge-exchangeable graphs and sparsity NeurIPS 2016