146 skills found · Page 1 of 5
Comfy-Org / ComfyUIThe most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.
cvignac / DiGresscode for the paper "DiGress: Discrete Denoising diffusion for graph generation"
qitianwu / DIFFormerThe official implementation for ICLR23 spotlight paper "DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion"
gasteigerjo / GdcGraph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)
ChengyiLIU-cs / Generative Diffusion Models On GraphsNo description available
JKZuo / Diff DGMNDiff-DGMN: A Diffusion-based Dual Graph Multi-attention Network for POI Recommendation
HKUDS / DiffKG[WSDM'2024 Oral] "DiffKG: Knowledge Graph Diffusion Model for Recommendation"
jpthu17 / GraphMotion[NeurIPS 2023] Act As You Wish: Fine-Grained Control of Motion Diffusion Model with Hierarchical Semantic Graphs
cvignac / MiDiMiDi: Mixed Graph and 3D Denoising Diffusion for Molecule Generation
liugangcode / Graph DiTThe code for "Graph Diffusion Transformer for Multi-Conditional Molecular Generation"
ymxlzgy / Echoscene[ECCV 2024] EchoScene: Indoor Scene Generation via Information Echo over Scene Graph Diffusion.
IIT-PAVIS / DiffAssembleOfficial repository for "DiffAssemble: A Unified Graph-Diffusion Model for 2D and 3D Reassembly" accepted at CVPR2024
DSL-Lab / SwinGNNSwinGNN: diffusion model for graph generation
yuntaoshou / Graph Diffusion Models A Comprehensive Survey Of Methods And ApplicationsAwesome Graph Diffusion Models is a collection of graph generation works, including papers, codes and datasets.
tum-pbs / Dgn4cfdOfficial implementation of Diffusion Graph Networks (DGNs)
YangLing0818 / SGDiffOfficial implementation for "Diffusion-Based Scene Graph to Image Generation with Masked Contrastive Pre-Training" https://arxiv.org/abs/2211.11138
qym7 / SparseDiffOfficial implementation for 'Sparse denoising diffusion for large graph generation'
HKUDS / DiffGraph[WSDM'2025] "DiffGraph: Heterogeneous Graph Diffusion Model"
ykiiiiii / GraDe IFGraph Denoising Diffusion for Inverse Protein Folding(NeurIPS 2023)
tufts-ml / Graph Generation EDGEEDGE: Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling
