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- Improving DiGress with Marginal Transitions and Structural Features
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Classroom Contents
DiGress: Discrete Denoising Diffusion for Graph Generation
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- 1 - Intro
- 2 - Denoising Diffusion Models
- 3 - The Price of Efficiency
- 4 - Discrete Diffusion
- 5 - DiGress: Discrete Graph Denoting Diffusion
- 6 - DiGress: Challenges and Training Methods
- 7 - DiGress: Denoising Network
- 8 - DiGress: Properties
- 9 - Results
- 10 - Improving DiGress with Marginal Transitions and Structural Features
- 11 - Final Results
- 12 - Summary and What’s Next
- 13 - Q+A
