Tharun Reddy Desireddy

Designed and implemented a novel Graph Neural Network (GNN) architecture, integrating cutting-edge techniques to effectively process graph-structured data, enhancing model performance and accuracy. Conducted extensive experiments to fine-tune hyperparameters and other optimization techniques to optimize the GNN model, achieving improved accuracy and efficiency in graph-related tasks. Utilized Specialized Libraries and Frameworks such as PyTorch and TensorFlow to implement and leverage state-of-the-art tools for advanced research.. Contributed to the preparation of research papers and presentations summarizing the project's progress and achievements