65 citations · 582 across the 89 of their papers we have counts for
4 papers · 1 filter
CrysGNN : Distilling pre-trained knowledge to enhance property prediction for crystalline materials
Kishalay Das, Bidisha Samanta, Pawan Goyal +3
In recent years, graph neural network (GNN) based approaches have emerged as a powerful technique to encode complex topological structure of crystal materials in an enriched repres…
Finding Prerequisite Relations between Concepts using Textbook
Shivam Pal, Vipul Arora, Pawan Goyal
A prerequisite is anything that you need to know or understand first before attempting to learn or understand something new. In the current work, we present a method of finding pre…
OccamNet: A Fast Neural Model for Symbolic Regression at Scale
Owen Dugan, Rumen Dangovski, Allan Costa +4
Neural networks' expressiveness comes at the cost of complex, black-box models that often extrapolate poorly beyond the domain of the training dataset, conflicting with the goal of…
Weakly-Supervised Deep Learning for Domain Invariant Sentiment Classification
Pratik Kayal, Mayank Singh, Pawan Goyal
The task of learning a sentiment classification model that adapts well to any target domain, different from the source domain, is a challenging problem. Majority of the existing ap…