Co-occurring keywords · papers mentioning both
Papers
Invariant Conditional Molecular Generation Under Distribution Shift
AAAI 2026
Bias Mitigation in Graph Diffusion Models
ICLR 2025
Contrastive Auxiliary Learning with Structure Transformation for Heterogeneous Graphs
AAAI 2025
Enhancing multi-modal Relation Extraction with Reinforcement Learning Guided Graph Diffusion Framework
COLING 2025
Equivariant Denoisers Cannot Copy Graphs: Align Your Graph Diffusion Models
ICLR 2025
FreeScene: Mixed Graph Diffusion for 3D Scene Synthesis from Free Prompts
CVPR 2025
Graph Diffusion for Robust Multi-Agent Coordination
ICML 2025
Instant Policy: In-Context Imitation Learning via Graph Diffusion
ICLR 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
MiDSummer: Multi-Guidance Diffusion for Controllable Zero-Shot Immersive Gaussian Splatting Scene Generation
ICCV 2025
Multimodal Large Language Models for Inverse Molecular Design with Retrosynthetic Planning
ICLR 2025
Topological Zigzag Spaghetti for Diffusion-based Generation and Prediction on Graphs
ICLR 2025
Unified Grid Tagging Scheme for Aspect Sentiment Quad Prediction
COLING 2025
A Generalized Neural Diffusion Framework on Graphs
AAAI 2024
Differentially Private Graph Diffusion with Applications in Personalized PageRanks
NeurIPS 2024
Generative Modelling of Structurally Constrained Graphs
NeurIPS 2024
Graph Diffusion Policy Optimization
NeurIPS 2024
HHMR: Holistic Hand Mesh Recovery by Enhancing the Multimodal Controllability of Graph Diffusion Models
CVPR 2024
Local Graph Clustering with Noisy Labels
ICLR 2024
A Probabilistic Graph Diffusion Model for Source Localization (Student Abstract)
AAAI 2023
Diffusion Model for Graph Inverse Problems: Towards Effective Source Localization on Complex Networks
NeurIPS 2023
Dynamic Tensor Decomposition via Neural Diffusion-Reaction Processes
NeurIPS 2023
Generalization in Graph Neural Networks: Improved PAC-Bayesian Bounds on Graph Diffusion
AISTATS 2023
Quasi-Monte Carlo Graph Random Features
NeurIPS 2023