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1. Detecting-Side-Effects-of-Adverse-Drug-Reactions-through-Drug-Drug-Interactions-using-Graph-Neural-N Detecting-Side-Effects-of-Adverse-Drug-Reactions-through-Drug-Drug-Interactions-using-Graph-Neural-N Public

   Official code of our paper titled "Detecting Side Effects of Adverse Drug Reactions through Drug-Drug Interactions using Graph Neural Networks and Self-Supervised Learning"

   Python 2

2. Molecule-Chemical-Property-Prediction-using-Graph-Isomorphism-and-Adversarial-Pretraining Molecule-Chemical-Property-Prediction-using-Graph-Isomorphism-and-Adversarial-Pretraining Public

   Predict the properties of molecules through adversarial pre-training and Graph Isomorphism

   Python

3. Defending-GNNs-against-Adversarial-Attacks-using-Contrastive-Self-Supervised-Learning Defending-GNNs-against-Adversarial-Attacks-using-Contrastive-Self-Supervised-Learning Public

   A self-supervised approach to train Graph Neural Networks to defend itself against Adversarial Attacks through Contrastive Learning and Negative Sampling

   Python 1

4. Self-Supervised-Learning-using-YOLOv5-Backbone Self-Supervised-Learning-using-YOLOv5-Backbone Public

   Localize and segment multiple objects by pre-training the backbone of YOLOv5 using an autoencoder

   Python

5. Spurious-Correlation-Mitigation-in-YOLOv5 Spurious-Correlation-Mitigation-in-YOLOv5 Public

   Autoencoder based approach for the mitigation of spurious correlations on YOLOv5 detections

6. Differential-Equations-Using-Neural-Networks Differential-Equations-Using-Neural-Networks Public

   Solving ODEs with initial values and PDEs with Dirichlet and Mixed Boundary Conditions using neural networks

   Python 1