AIL723: Difference between revisions
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| credits = 4 | | credits = 4 | ||
| credit_structure = 3-0-2 | | credit_structure = 3-0-2 | ||
| pre_requisites = ELL780 / ELL409 / ELL784 / AIL701 / COL774 | | pre_requisites = [[ELL780]] / [[ELL409]] / [[ELL784]] / [[AIL701]] / [[COL774]] | ||
| overlaps = | | overlaps = | ||
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== AIL723 : Graph Machine Learning == | == AIL723 : Graph Machine Learning == | ||
/ COL341 Introduction and Motivations for Machine Learning with Graphs, Graph and its Matrices, Graph Theory, Laplacian Matrix and Smoothness, Graph Learning from Data, Graph Embedding, Label Propagation, Courses of Study 2024-2025 Yardi School of Artificial Intelligence 348Manifold Regularization, semi-, un-, and supervised Learning with Graphs, Graph Data Mining, Deep Learning with Graphs. | / [[COL341]] Introduction and Motivations for Machine Learning with Graphs, Graph and its Matrices, Graph Theory, Laplacian Matrix and Smoothness, Graph Learning from Data, Graph Embedding, Label Propagation, Courses of Study 2024-2025 Yardi School of Artificial Intelligence 348Manifold Regularization, semi-, un-, and supervised Learning with Graphs, Graph Data Mining, Deep Learning with Graphs. | ||
Latest revision as of 16:21, 14 April 2026
| AIL723 | |
|---|---|
| Graph Machine Learning | |
| Credits | 4 |
| Structure | 3-0-2 |
| Pre-requisites | ELL780 / ELL409 / ELL784 / AIL701 / COL774 |
| Overlaps | |
AIL723 : Graph Machine Learning
/ COL341 Introduction and Motivations for Machine Learning with Graphs, Graph and its Matrices, Graph Theory, Laplacian Matrix and Smoothness, Graph Learning from Data, Graph Embedding, Label Propagation, Courses of Study 2024-2025 Yardi School of Artificial Intelligence 348Manifold Regularization, semi-, un-, and supervised Learning with Graphs, Graph Data Mining, Deep Learning with Graphs.