Graph neural network
Machine learning with graphs
There are many interesting applications. Google Maps and DeepMind team used GNN to improve the ETA prediction Derrow Pinion2021ETA
Books, reviews, and tutorials
- Graph Representation Learning Book by William Hamilton
- Intro to graph neural networks (ML Tech Talks) a talk by Petar Veličković.
- A Gentle Introduction to Graph Neural Networks
- https://twitter.com/PetarV_93/status/1456440282355052544 - “Let’s say I have two spare days and want to really understand GNNs. What should I do?”
- Graph Neural Networks through the lens of Differential Geometry and Algebraic Topology | by Michael Bronstein | Nov, 2021 | Towards Data Science by Michael Bronstein
- [ICLR 2021 Keynote - “Geometric Deep Learning: The Erlangen Programme of ML” - M Bronstein] by Michael Bronstein
- Graph Neural Networks - a perspective from the ground up by Alex Foo
How about directed networks? See Beaini2020directional
Attention mechanism can also be used for graphs. See Graph attention networks.
- How Powerful are Graph Neural Networks?
- GNN Explainer: A Tool for Post-hoc Explanation of Graph Neural Networks
- Redundancy-Free Computation Graphs for Graph Neural Networks
- Understanding the Representation Power of Graph Neural Networks in Learning Graph Topology
- Li2020distance: Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation Learning