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Found 4 papers, 2 papers with code
PGraphDTA: Improving Drug Target Interaction Prediction using Protein Language Models and Contact Maps
Through extensive experimentation, we demonstrate that our proposed approaches outperform the baseline models considered in this study, presenting a compelling case for further development in this direction.
Ranked #1 on
on DAVIS-DTA
Two-Sided Fairness in Non-Personalised Recommendations
Analysing the results obtained from voting rule-based recommendation, we find that while the well-known voting rules are better from the user side, they show high bias values and clearly not suitable for organisational requirements of the platforms.
Analysing the Extent of Misinformation in Cancer Related Tweets
This helps spread awareness regarding the various causes, cures and prevention methods of cancer.
Modelling Bahdanau Attention using Election methods aided by Q-Learning
Neural Machine Translation has lately gained a lot of "attention" with the advent of more and more sophisticated but drastically improved models.
