graph generation

MAGE: Model-Level Graph Neural Networks Explanations via Motif-based Graph Generation ICLR 2025 MarkushGrapher: Joint Visual and Textual Recognition of Markush Structures CVPR 2025 Simple and Critical Iterative Denoising: A Recasting of Discrete Diffusion in Graph Generation ICML 2025 Temporal Heterogeneous Graph Generation with Privacy, Utility, and Efficiency ICLR 2025 Topological Zigzag Spaghetti for Diffusion-based Generation and Prediction on Graphs ICLR 2025 Towards Addressing Frontiers in Graph Generation AAAI 2025 TreeFormer: Single-View Plant Skeleton Estimation via Tree-Constrained Graph Generation WACV 2025 An Autoregressive Text-to-Graph Framework for Joint Entity and Relation Extraction AAAI 2024 A Theory of Non-acyclic Generative Flow Networks AAAI 2024 Challenges of Generating Structurally Diverse Graphs NeurIPS 2024 Controlled Transformation of Text-Attributed Graphs EMNLP 2024 DAG-Aware Variational Autoencoder for Social Propagation Graph Generation AAAI 2024 Diffuse, Sample, Project: Plug-And-Play Controllable Graph Generation ICML 2024 Diffusion Twigs with Loop Guidance for Conditional Graph Generation NeurIPS 2024 Discrete-state Continuous-time Diffusion for Graph Generation NeurIPS 2024 Efficient and Scalable Graph Generation through Iterative Local Expansion ICLR 2024 Generative Modelling of Structurally Constrained Graphs NeurIPS 2024 Geometric-Facilitated Denoising Diffusion Model for 3D Molecule Generation AAAI 2024 Graph Diffusion Policy Optimization NeurIPS 2024 Graph Generation with K^2-trees ICLR 2024 Graph Generation with Diffusion Mixture ICML 2024 HiGen: Hierarchical Graph Generative Networks ICLR 2024 Hyperbolic Geometric Latent Diffusion Model for Graph Generation ICML 2024 Hyperbolic Graph Diffusion Model AAAI 2024 InstructGraph: Boosting Large Language Models via Graph-centric Instruction Tuning and Preference Alignment ACL 2024