An Introduction to Message Passing Graph Neural Networks (GNNs) Permalink
A beginner friendly introduction to Message Passing Graph Neural Networks (MPGNNs).
Hi there, I'm Saurav 👋.
- Most of the time I'm working on ML. I'm interested in Representation Learning with a specific liking for Geometric Learning and Self Supervised Learning.
- Lately I'm also interested in Systems Programming (check out the rust kernel I built for my bachelors thesis)
- I am a Google Developer Expert in Machine Learning
- I enjoy delivering talks you can find the materials here
- I also write technical articles, some of my favourite ones are listed below.
Recent Posts
Graph Neural Networks (GNNs) with Learnable Structural and Positional Representations Permalink
An in-depth breakdown of “Graph Neural Networks with Learnable Structural and Positional Representations” by Vijay Prakash Dwivedi, Anh Tuan Luu, Thomas Laur...
MLP-Mixer: An all-MLP Architecture for Vision Permalink
In the past few months there have been various papers proposing MLP based architectures without Attention or Convolutions. This report analyses the paper ‘ML...
DINO - Emerging Properties in Self-Supervised Vision Transformers Permalink
Breakdown of Emerging Properties in Self-Supervised Vision Transformers by Mathilde Caron, Hugo Touvron, Ishan Misra, Hervé Jégou, Julien Mairal, Piotr Bojan...
What Do Compressed Deep Neural Networks Forget? Permalink
Pruning can be a clever way to reduce a model’s resource greediness. But what gets forgotten when you do?