{"total":21,"rows":[{"id":"2302.09048","title":"MiDi: Mixed Graph and 3D Denoising Diffusion for Molecule Generation","created":"2023-02-17","cited_by_count":98,"area":"diffusion"},{"id":"2302.02591","title":"Generative Diffusion Models on Graphs: Methods and Applications","created":"2023-02-06","cited_by_count":81,"area":"diffusion"},{"id":"2405.11416","title":"Discrete-state Continuous-time Diffusion for Graph Generation","created":"2024-05-19","cited_by_count":76,"area":"diffusion"},{"id":"2302.09746","title":"PriSTI: A Conditional Diffusion Framework for Spatiotemporal Imputation","created":"2023-02-20","cited_by_count":66,"area":"diffusion"},{"id":"2303.08440","title":"Improving 3D Imaging with Pre-Trained Perpendicular 2D Diffusion Models","created":"2023-03-15","cited_by_count":53,"area":"diffusion"},{"id":"2312.16890","title":"DiffKG: Knowledge Graph Diffusion Model for Recommendation","created":"2023-12-28","cited_by_count":41,"area":"diffusion"},{"id":"2304.01565","title":"A Survey on Graph Diffusion Models: Generative AI in Science for Molecule, Protein and Material","created":"2023-04-04","cited_by_count":35,"area":"diffusion"},{"id":"2305.12347","title":"Learning Joint 2D & 3D Diffusion Models for Complete Molecule Generation","created":"2023-05-21","cited_by_count":27,"area":"diffusion"},{"id":"2405.03188","title":"Hyperbolic Geometric Latent Diffusion Model for Graph Generation","created":"2024-05-06","cited_by_count":20,"area":"diffusion"},{"id":"2407.05842","title":"3D Vessel Graph Generation Using Denoising Diffusion","created":"2024-07-08","cited_by_count":9,"area":"diffusion"},{"id":"2405.17656","title":"Equivariant Denoisers Cannot Copy Graphs: Align Your Graph Diffusion Models","created":"2024-05-27","cited_by_count":8,"area":"diffusion"},{"id":"2410.16606","title":"GALA: Graph Diffusion-based Alignment with Jigsaw for Source-free Domain Adaptation","created":"2024-10-22","cited_by_count":8,"area":"diffusion"},{"id":"2304.05137","title":"Modeling and design of heterogeneous hierarchical bioinspired spider web structures using generative deep learning and additive manufacturing","created":"2023-04-11","cited_by_count":2,"area":"diffusion"},{"id":"2401.15617","title":"Diffusion-based Graph Generative Methods","created":"2024-01-28","cited_by_count":2,"area":"diffusion"},{"id":"2404.09016","title":"Theoretical research on generative diffusion models: an overview","created":"2024-04-13","cited_by_count":2,"area":"diffusion"},{"id":"2601.03701","title":"Inference Attacks Against Graph Generative Diffusion Models","created":"2026-01-07","cited_by_count":2,"area":"diffusion"},{"id":"2406.04916","title":"Combinatorial Complex Score-based Diffusion Modelling through Stochastic Differential Equations","created":"2024-06-07","cited_by_count":0,"area":"diffusion"},{"id":"2507.03728","title":"FAROS: Fair Graph Generation via Attribute Switching Mechanisms","created":"2025-07-04","cited_by_count":0,"area":"diffusion"},{"id":"2510.08535","title":"Permutation-Invariant Spectral Learning via Dyson Diffusion","created":"2025-10-09","cited_by_count":0,"area":"diffusion"},{"id":"2601.15722","title":"Communication-efficient Federated Graph Classification via Generative Diffusion Modeling","created":"2026-01-22","cited_by_count":0,"area":"diffusion"},{"id":"2605.09065","title":"Dependency-Aware Discrete Diffusion for Scene Graph Generation","created":"2026-05-09","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}