- How to keep up in a constantly advancing field? https://towardsdatascience.com/graph-neural-networks-through-the-lens-of-differential-geometry-and-algebraic-topology-3a7c3c22d5f 6 comments learnmachinelearning
Linked pages
- Transformers are Graph Neural Networks https://thegradient.pub/transformers-are-graph-neural-networks/ 25 comments
- Medium https://medium.com/m/signin?isDraft=1&operation=login&redirect=https%3A%2F%2Fmedium.com%2F%40jamie_34747%2F79d382edf22b%3Fsource%3D 19 comments
- [2104.13478] Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges https://arxiv.org/abs/2104.13478 16 comments
- https://medium.com/@pala_najana/subscribe 2 comments
- Geometric Deep Learning - Grids, Groups, Graphs, Geodesics, and Gauges http://geometricdeeplearning.com/ 0 comments
- Poincaré conjecture - Wikipedia https://en.wikipedia.org/wiki/Poincar%C3%A9_conjecture 0 comments