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

2025

  1. Periodic Materials Generation using Text-Guided Joint Diffusion Model. Kishalay Das, Subhojyoti Khastagir, Pawan Goyal, Seung-Cheol Lee, Satadeep Bhattacharjee and Niloy Ganguly ICLR 2025 [A*] (acceptance rate of 32.08%) [Poster] [Paper] [OpenReview] [arXiv] [Poster] [Code] [ICLR Vlog]

2023

  1. CrysMMNet: Multimodal Representation for Crystal Property Prediction. Kishalay Das, Pawan Goyal, Seung-Cheol Lee, Satadeep Bhattacharjee and Niloy Ganguly UAI 2023 [A*] (acceptance rate of 31%) [Poster] [Paper] [OpenReview] [arXiv] [Poster] [Code] [UAI 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 [A*] (acceptance rate of 19.6%) [Oral], 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]