# Course - Geometric Deep Learning HT26

> Source: https://ollybritton.com/notes/uni/part-c/ht26/geometric-deep-learning/ · Updated: 2026-03-19 · Tags: uni, course

- [Course webpage](https://courses.cs.ox.ac.uk/course/view.php?name=geodl_2025_2026)
- Lecture notes
	- [Course schedule](https://courses.cs.ox.ac.uk/mod/resource/view.php?id=7738)
	- [1, Introduction](https://courses.cs.ox.ac.uk/mod/resource/view.php?id=6334)
	- [2, ML in high dimensions](https://courses.cs.ox.ac.uk/mod/resource/view.php?id=6335)
- [Lecture notes](https://courses.cs.ox.ac.uk/course/view.php?id=814) ([old](https://courses.cs.ox.ac.uk/course/view.php?name=geodl_2024_2025))
	- [1, Introduction](https://courses.cs.ox.ac.uk/pluginfile.php/25704/mod_resource/content/5/Oxford%202026%20-%201%20-%20Introduction.pdf)
	- [2, ML in high dimensions](https://courses.cs.ox.ac.uk/pluginfile.php/25705/mod_resource/content/7/Oxford%202026%20-%202%20-%20ML%20in%20high%20dimensions.pdf)
	- [3+4, Geometric priors](https://courses.cs.ox.ac.uk/pluginfile.php/25706/mod_resource/content/4/Oxford%202026%20-%203%20%204%20-%20Geometric%20priors.pdf)
	- [5, Sets](https://courses.cs.ox.ac.uk/pluginfile.php/25707/mod_resource/content/3/Oxford%202026%20-%205%20-%20Sets%20.pdf)
	- [6+7, Graphs](https://courses.cs.ox.ac.uk/pluginfile.php/25708/mod_resource/content/3/Oxford%202026%20-%206%20%207%20-%20Graphs.pdf)
	- [8, Graph foundation models](https://courses.cs.ox.ac.uk/pluginfile.php/20733/mod_resource/content/2/Oxford%202025%20-%208%20-%20Graph%20FM.pdf) (old)
	- [9+10, Grids](https://courses.cs.ox.ac.uk/pluginfile.php/14421/mod_resource/content/2/Oxford%202025%20-%209%20%2010%20-%20Grids.pdf) (old)
	- [11, Groups and homogenous spaces](https://courses.cs.ox.ac.uk/pluginfile.php/14422/mod_resource/content/3/Oxford%202025%20-%2011%20-%20Groups%20%20Homogeneous%20spaces.pdf) (old)
	- [12, Geometric graphs and geometric GNNs](https://courses.cs.ox.ac.uk/pluginfile.php/14423/mod_resource/content/2/Oxford%202025%20-%2012%20-%20Geometric%20Graphs%20%20Geometric%20GNNs.pdf) (old)
	- [13, Manifolds](https://courses.cs.ox.ac.uk/pluginfile.php/14424/mod_resource/content/1/Oxford%202025%20-%2013%20-%20Manifolds.pdf) (old)
	- [14, Gauges](https://courses.cs.ox.ac.uk/pluginfile.php/14425/mod_resource/content/2/Oxford%202025%20-%2014%20-%20Gauges.pdf) (old)
	- [15, Spectral methods](https://courses.cs.ox.ac.uk/pluginfile.php/14426/mod_resource/content/3/Oxford%202025%20-%2015%20-%20Spectral%20methods.pdf) (old)
	- [16, Physics-inspired methods](https://courses.cs.ox.ac.uk/pluginfile.php/14427/mod_resource/content/0/Oxford%202024%20-%2016%20-%20Physics-inspired%20methods.pdf) (old)
- Lecture recordings
	- [2024-2025](https://ox.cloud.panopto.eu/Panopto/Pages/Sessions/List.aspx#folderID=%224da9d140-2ece-4116-b327-b1ea00ec885f%22)
	- [2025-2026](https://ox.cloud.panopto.eu/Panopto/Pages/Sessions/List.aspx#folderID=%22f6874ee7-63af-4a4d-994b-b3630095d742%22)
- Other resources:
	- [Mathematical Background for GDL](https://courses.cs.ox.ac.uk/pluginfile.php/25717/mod_resource/content/3/2508.02723v1.pdf)
	- [Equivariant and coordinate independent convolutional networks](https://courses.cs.ox.ac.uk/pluginfile.php/25718/mod_resource/content/2/EquivariantAndCoordinateIndependentCNNs.pdf)
- Other courses this term: [Courses HT26](https://ollybritton.com/notes/uni/part-c/ht26/)
- Related courses:
	- [Course - Machine Learning MT23](https://ollybritton.com/notes/uni/part-a/mt23/machine-learning/)
	- [Course - Uncertainty in Deep Learning MT25](https://ollybritton.com/notes/uni/part-c/mt25/uncertainty-in-deep-learning/)
	- [Course - Theories of Deep Learning MT25](https://ollybritton.com/notes/uni/part-c/mt25/theories-of-deep-learning/)
	- [Course - Optimisation for Data Science HT25](https://ollybritton.com/notes/uni/part-b/ht25/optimisation-for-data-science/)

### Notes
- [Notes - Geometric Deep Learning HT26, Core idea](https://ollybritton.com/notes/uni/part-c/ht26/geometric-deep-learning/notes/core-idea/)
- [Notes - Geometric Deep Learning HT26, Mathematical background](https://ollybritton.com/notes/uni/part-c/ht26/geometric-deep-learning/notes/mathematical-background/)
- [Notes - Geometric Deep Learning HT26, Invariance and equivariance](https://ollybritton.com/notes/uni/part-c/ht26/geometric-deep-learning/notes/invariance-and-equivariance/)
- [Notes - Geometric Deep Learning HT26, Scale separation](https://ollybritton.com/notes/uni/part-c/ht26/geometric-deep-learning/notes/scale-separation/)
- [Notes - Geometric Deep Learning HT26, Sets](https://ollybritton.com/notes/uni/part-c/ht26/geometric-deep-learning/notes/sets/)
- [Notes - Geometric Deep Learning HT26, Graphs](https://ollybritton.com/notes/uni/part-c/ht26/geometric-deep-learning/notes/graphs/)

### Practicals
- [1, Invariance](https://courses.cs.ox.ac.uk/pluginfile.php/25721/mod_folder/content/0/practical_1_invariance.ipynb)
- [2, Graph foundation models](https://courses.cs.ox.ac.uk/pluginfile.php/14431/mod_folder/content/0/gdl-practical-2-graph-foundation-model-updated.ipynb) (old)
- [3, Spectral transformers](https://courses.cs.ox.ac.uk/pluginfile.php/14431/mod_folder/content/0/gdl-practical-3-spectral-transformers.ipynb) (old)
- [4, Invariant and equivariant GNNs](https://courses.cs.ox.ac.uk/pluginfile.php/14431/mod_folder/content/0/gdl-practical-4-invariantequivariant-GNNs.ipynb) (old)
- [5, Neural diffusion](https://courses.cs.ox.ac.uk/pluginfile.php/14431/mod_folder/content/0/gdl-practical-5-neural-diffusion.ipynb) (old)

### Problem Sheets
- [Sheet for lectures 3 & 4](https://courses.cs.ox.ac.uk/pluginfile.php/14428/mod_resource/content/3/GDL%20Problems%203%20%204.pdf), [redacted](https://ollybritton.com/404)
- [Sheet for lectures 9 & 10](https://courses.cs.ox.ac.uk/pluginfile.php/14429/mod_resource/content/0/Oxford%202024%20-%209%20%2010%20-%20Problems%20with%20solutions.pdf), [redacted](https://ollybritton.com/404)

### To-Do List

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