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graph diffusion

32 papers

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Co-occurring keywords

graph neural network (3962) message passing (579) graph diffusion model (5) diffusion model (3751) diffusion process (68) graph generation (109) spectral clustering (305) multi-view clustering (199) node embedding (127) molecular generation (78)

Papers

Invariant Conditional Molecular Generation Under Distribution Shift AAAI 2026
Enhancing multi-modal Relation Extraction with Reinforcement Learning Guided Graph Diffusion Framework COLING 2025
MiDSummer: Multi-Guidance Diffusion for Controllable Zero-Shot Immersive Gaussian Splatting Scene Generation ICCV 2025
FreeScene: Mixed Graph Diffusion for 3D Scene Synthesis from Free Prompts CVPR 2025
LUDVIG: Learning-Free Uplifting of 2D Visual Features to Gaussian Splatting Scenes ICCV 2025
Medusa: A Multi-Scale High-order Contrastive Dual-Diffusion Approach for Multi-View Clustering CVPR 2025
Contrastive Auxiliary Learning with Structure Transformation for Heterogeneous Graphs AAAI 2025
Unified Grid Tagging Scheme for Aspect Sentiment Quad Prediction COLING 2025
Generative Modelling of Structurally Constrained Graphs NIPS 2024
A Generalized Neural Diffusion Framework on Graphs AAAI 2024
Graph Diffusion Policy Optimization NIPS 2024
Differentially Private Graph Diffusion with Applications in Personalized PageRanks NIPS 2024
HHMR: Holistic Hand Mesh Recovery by Enhancing the Multimodal Controllability of Graph Diffusion Models CVPR 2024
A Probabilistic Graph Diffusion Model for Source Localization (Student Abstract) AAAI 2023
Generalization in Graph Neural Networks: Improved PAC-Bayesian Bounds on Graph Diffusion AISTATS 2023
TIDE: Time Derivative Diffusion for Deep Learning on Graphs ICML 2023
Weighted Flow Diffusion for Local Graph Clustering with Node Attributes: an Algorithm and Statistical Guarantees ICML 2023
Diffusion Model for Graph Inverse Problems: Towards Effective Source Localization on Complex Networks NIPS 2023
Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous Graph Diffusion Functionals NIPS 2023
Dynamic Tensor Decomposition via Neural Diffusion-Reaction Processes NIPS 2023
Quasi-Monte Carlo Graph Random Features NIPS 2023
Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs NIPS 2022
Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations ICML 2022
Adaptive Diffusion in Graph Neural Networks NIPS 2021
Dissecting the Diffusion Process in Linear Graph Convolutional Networks NIPS 2021