Graph Neural Networks with Ankit Jain

This weekend on ‘The Minhaaj Podcast’ i am joined by one of the most brilliant researchers on Graph Neural Networks and a dear friend of mine Ankit Jain at Facebook.

Ankit is an experienced AI Researcher/Machine Learning Engineer who is passionate about using AI and has researched and deployed several state of the art machine learning models which have impacted 100s of millions of users. Ankit currently works as a senior research scientist at Facebook where he works on a variety of machine learning problems across different verticals.

Previously, he was a researcher at Uber AI where he worked on the application of deep learning methods to different problems ranging from food delivery, fraud detection to self-driving cars. He has been a featured speaker in many of the top AI conferences and universities like UC Berkeley, IIT Bombay and has published papers in several top conferences like Neurips, ICLR.

He has co-authored a book on machine learning titled TensorFlow Machine Learning Projects. Here are some timestamps from our conversation. Link for full episode is in the comments

00:17 IIT vs FAANG companies, Competition Anxiety 05:40 Work Load between India and US, Educational Culture 07:50. Uber Eats, Food Recommendation Systems and Graph Networks 11:00 Accuracy Matrices for Recommendation Systems 12:42 Weather as a predictor of Food Orders and Pizza Fad 15:48 Raquel Urtusun and Zoubin Gharamani, Autonomous Driving and Google Brain 17:30 Graph Learning in Computer Vision & Beating the Benchmarks 19:15 Latent Space Representations and Fraud Detection 21:30 Multimodal Data & Prediction Accuracy 31:44 Finding Collusion between Riders and Drivers with Graph Learning 35:40 Reward Sensitivity Analysis for Drivers in Uber through LSTM Networks 42:00 PyG 2.0, Jure Leskovec, and DeepGraph, Tensorflow Support 46:46 Pytorch vs Tensorflow, Scalability and ease of use. 52:10 Work at Facebook, End to End Experiments 55:19 Optimisation of Cross-functional Solutions for Multiple Teams 57:30 Content Understanding teams and Behaviour Prediction 59:50 Cold Start Problem and Representation Mapping 01:03:30 NeurIPS paper on Meta-Learning and Global Few-Shot Model 01:18:25 TensorFlow Book and Upcoming Blog 01:16:40 Working at Oil Rig in the Ocean Straight Out of College 01:20:08 Promises of AI and Benefits to Society at Large

https://www.youtube.com/watch?v=554TdXJ41YU&list=PLtluUSnvgbdF7MlqjX5-IVMCkFGTrEWlz&index=28