publications

You can also find my articles on my Google Scholar profile.

2023

1. CrysMMNet: Multimodal Representation for Crystal Property Prediction. Kishalay Das, Pawan Goyal, Seung-Cheol Lee, Satadeep Bhattacharjee and Niloy Ganguly UAI 2023.[Poster Presentation] (acceptance rate of 31%) [Paper] [OpenReview] [arXiv] [Poster] [Code] [Vlog]
2. CrysGNN : Distilling pre-trained knowledge to enhance property prediction for crystalline materials. Kishalay Das, Bidisha Samanta, Pawan Goyal, Seung-Cheol Lee, Satadeep Bhattacharjee and Niloy Ganguly AAAI 2023.[Oral Presentation] (acceptance rate of 19.6%) , ML4Materials Workshop @ ICLR-2023 [Paper] [Slide] [Code] [Poster] [arXiv] [Video]

2022

1. CrysXPP: An Explainable Property Predictor for Crystalline Material Kishalay Das, Bidisha Samanta, Pawan Goyal, Seung-Cheol Lee, Satadeep Bhattacharjee and Niloy Ganguly NPJ Computational Materials (Nature) Journal,2022. (Impact Factor: 13.2) [Paper] [Code] [Slides] [Video] [Blog] [Page]

2020

1. Hypergraph Attention Isomorphism Network by Learning Line Graph Expansion Sambaran Bandyopadhyay, Kishalay Das, and M Narasimha Murty IEEE International Conference on Big Data, 2020 [PDF] [Code] [Slides] [Video]
2. Line Hypergraph Convolution Network: Applying Graph Convolution for Hypergraphs Sambaran Bandyopadhyay, Kishalay Das, and M Narasimha Murty arXiv, 2020 [PDF] [Code]