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In Lecture 13 we move beyond supervised learning, and discuss
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Stanford CS224W: ML with Graphs | 2021 | Lecture 15.4 - Applications of Deep Graph Generation
Stanford CS236: Deep Generative Models I 2023 I Lecture 18 - Diffusion Models for Discrete Data
Stanford CS224W: ML with Graphs | 2021 | Lecture 15.1 - Deep Generative Models for Graphs
Stanford CS236: Deep Generative Models I 2023 I Lecture 14 - Energy Based Models
KGC 2022 Keynote: 'Deep Learning with Knowledge Graphs' by Stanford's Prof. Jure Leskovec
Stanford CS236: Deep Generative Models I 2023 I Lecture 5 - VAEs
Stanford CS236: Deep Generative Models I 2023 I Lecture 15 - Evaluation of Generative Models
Lecture 13 | Generative Models
Stanford CS236: Deep Generative Models I 2023 I Lecture 16 - Score Based Diffusion Models
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Last Updated: June 9, 2026
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