Atomic Relations to Traffic Predictions

Graph Neural Networks, or GNNs, have grown increasingly popular, having found extensive usage in a range of different projects. A type of neural network, GNNs can process any data presented as a graph. Of late, GNNs have become vital in scientific discovery, building physics simulations, fake news detection, traffic prediction and recommendation systems.  Analytics India Magazine caught up with Yuvaneet Bhaker, Principal Data Scientist at Fractal, to understand more about the scope of GNNs in industries and their relevance in the future. AIM: How does Fractal use GNNs?  Yuvaneet: We use it for a variety of domain-specific problems — for example, piracy detection in the media and telecom industry. Applications hosting content like live sports, web series, etc., run at r