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DL09 · Graph and Geometric Deep Learning

A free, illustrated L3 to L4 course of 8 modules in the Deep Learning track. Modules include: Graphs as data; Message passing; Graph convolution, attention and sampling.

DL09 L3 to L4 · Advanced to Expert 8 modules · about 32 lessons Planned · Ring 4

Part of the Deep Learning track. Ships in Ring 4 (Expert) of the roadmap.

Modules

1. Graphs as data
2. Message passing
3. Graph convolution, attention and sampling
4. Expressive power and the Weisfeiler-Leman test
5. Graph transformers
6. Symmetry, invariance and equivariance
7. Geometric models for molecules and 3D
8. Scaling and applications

Signature illustrations

The pictures a learner should still see in their head a year later:

One message-passing step animated, aggregation trees, pictures of a symmetry group acting, over-smoothing across depth.

Status

This course is planned, not written yet. It ships with Ring 4 (Expert).

Every lesson will follow the same twelve-part blueprint with at least three purpose-made figures. Watch the repository to hear when modules ship, or help write and review it.