26 citations · 33 across the 6 of their papers we have counts for
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Model Agnostic Graph Prompt Learning for Crystal Property Prediction
Shrimon Mukherjee, Kishalay Das, Partha Basuchowdhuri +2
Graph Neural Networks have emerged as a powerful tool for the fast and accurate prediction of various crystal properties. These models often encode domain-specific knowledge into t…
Latent Diffusion Pretraining for Crystal Property Prediction
Shrimon Mukherjee, Kishalay Das, Partha Basuchowdhuri +2
Fast and accurate prediction of crystal properties is a central challenge in new materials design. Graph neural networks and Transformer-based models have emerged as powerful tools…
G4-Attention: Deep Learning Model with Attention for predicting DNA G-Quadruplexes
Shrimon Mukherjee, Pulakesh Pramanik, Partha Basuchowdhuri +1
G-Quadruplexes are the four-stranded non-canonical nucleic acid secondary structures, formed by the stacking arrangement of the guanine tetramers. They are involved in a wide range…
Deep Graph Convolutional Network and LSTM based approach for predicting drug-target binding affinity
Shrimon Mukherjee, Madhusudan Ghosh, Partha Basuchowdhuri
Development of new drugs is an expensive and time-consuming process. Due to the world-wide SARS-CoV-2 outbreak, it is essential that new drugs for SARS-CoV-2 are developed as soon…