A curated list of up-to-date graph diffusion generation papers and resources. This Repo is being actively updated and maintained! 03/21/24 Please let us know if we miss any papers! Sparse Training of ...

Event schema generation is crucial for understanding the structure and temporal relationships of complex events. In this paper, we introduce a novel Directed Acyclic Graph Diffusion Model (DAGDM) that ...

Code for the paper Fast Graph Generation via Spectral Diffusion (IEEE TPAMI 2023). If you found the provided code with our paper useful in your work, we kindly request that you cite our work ...

HYGENE is the first deep learning-based hypergraph generation model validated on both synthetic and real-world datasets. Key contributions include pioneering deep learning methods for hypergraphs, ...

The generation of natural human motion interactions is a hot topic in computer vision and computer animation. It is a challenging task due to the diversity of possible human motion interactions.

Inspired by physics, a new generative model PFGM++ outperforms diffusion models in image generation. Generative AI, which is currently riding a crest of popular discourse, promises a world where the ...