Bidisha Samanta

Designing Random Graph Models Using Variational Autoencoders With Applications to Chemical Design.

Bidisha Samanta, Abir De, Niloy Ganguly et al. · arXiv (Cornell University) · 2018 · 34 citations · Full text

Smooth Latent Representation, Graph Neural Network, Engineering +15

CrysXPP: An explainable property predictor for crystalline materials

Kishalay Das, Bidisha Samanta, Pawan Goyal et al. · npj Computational Materials · 2022 · 23 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +17

LMPP: A Large Margin Point Process Combining Reinforcement and Competition for Modeling Hashtag Popularity

Bidisha Samanta, Abir De, Abhijnan Chakraborty et al. · 2017 · 20 citations · Full text

Engineering, Social Medium Monitoring, Journalism +22

All that is English may be Hindi: Enhancing language identification\n through automatic ranking of likeliness of word borrowing in social media

Jasabanta Patro, Bidisha Samanta, Saurabh Singh et al. · arXiv (Cornell University) · 2017 · 19 citations · Full text

NeVAE: A Deep Generative Model for Molecular Graphs

Bidisha Samanta, Abir De, Gourhari Jana et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2019 · 18 citations · Full text

Artificial Intelligence, Graph Representation Learning, Machine Learning +18