Introduction to Chebyshev Graph Convolutional Neural Networks Permalink
This article provides a brief overview of Chebyshev Graph Convolutional Neural Networks (ChebGCN) which solves the orthogonality problem of LapGCNs, complete...
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
VICReg - Variance-Invariance-Covariance Regularization for Self Supervised Learning Permalink
Intuitive and step-by-step guide to understanding the VICReg framework for Self Supervised Learning, along with interactive visualizations and code
Multi-Task Self Supervised Graph Representation Learning Permalink
Brief breakdown of Multi-task Self-supervised Graph Neural Network Enable Stronger Task Generalization [ICLR 2023] by Mingxuan Ju, Tong Zhao, Qianlong Wen, W...
A Brief Introduction to Graph Contrastive Learning Permalink
This article provides an overview of “Deep Graph Contrastive Representation Learning” and introduces a general formulation for Contrastive Representation Lea...
Multi-view Graph Representation Learning Permalink
Easy to digest breakdown of “Contrastive Multi-View Representation Learning on Graphs” by Kaveh Hassani and Amir Hosein Khasahmadi