I am Aryan Amit Barsainyan. I will be working with DeepChem this summer as a GSoC contributor.
I am a 2nd Year UG student at the National Institute of Technology Karnataka, India pursuing Mechanical Engineering (Major) and Information Technology (Minor). I am a Deep Learning enthusiast and enjoy working on tech that uses ML and Deep Learning for solving complex scientific problems.
I started my journey as a part of the DeepChem community in January 2022. I am happy to have found an organization where I could learn a lot about the real-world workings of ML models, especially graph-based neural networks, and I plan on contributing to DeepChem even after GSOC ends by improving the project implementation while also fixing issues and helping the community, wherever and whenever possible!
About the Project
This project seeks to bring a new tool to the DeepChem suite for solving message passing problems based on the recent advancements in GCNs research. This project aims to implement a Directed – Message Passing Neural Network (D-MPNN) model, a graph convolution network (GCN) built upon the existing Message Passing Neural Network (MPNN) model based on the base implementation in Chemprop.
I shall be updating my progress here over the summer on a weekly basis. Stay tuned!
Project description is available here.