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Probabilistic ML - Lecture 16 - Graphical Models
Federated Multimodal and Multiresolution Graph Integration |D* MSc| *Oral* | MICCAI DGM4MICCAI 2023
3. Graph-theoretic Models
Stanford CS224W: ML with Graphs | 2021 | Lecture 15.1 - Deep Generative Models for Graphs
17 Probabilistic Graphical Models and Bayesian Networks
Stanford CS224W: ML with Graphs | 2021 | Lecture 10.3 - Knowledge Graph Completion Algorithms
Dr. Tyler McCormick | Multiresolution network models
Probabilistic graphical models and deep learning for remote sensing image analysis, M. Pastorino
MLVU 12.4: Graph models
12 Matrix models: Recommender systems, PCA and Graph convolutions
TUM DI-Lab S23 - Equivariant GNN-based Multi-Resolution Surrogate for SPH
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Last Updated: August 14, 2026
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