About me

I am a pre-doctoral researcher (Research fellow) at Microsoft Research Lab India. I am interested in topics like Graph Representation Learning, Node Classification and Spectral Methods, and applications to diverse domains like Multi-Behaviour recommendation, Code Generation and Quantum Computing. I received the Bachelor of Engineering in Computer Science Degree, along with a Minor in Physics from BITS Pilani in 2021. Most recently, our conference paper on graph unsupervised representation learning under heterophily, for which I was first author, was accepted at NeurIPS ’23.

Please find my Resume here.

Publications:

• [c] FiGURe: Simple and Efficient Unsupervised Node Representations with Filter Augmentations. Ajinkya P. Deshpande*, Chanakya Ekbote*, Arun Iyer, Ramakrishna Bairi and Sundararajan Sellamanickam Neural Information Processing Systems (NeurIPS) 2023.
• [w] FiGURe: Simple and Efficient Unsupervised Node Representations with Filter Augmentations. Ajinkya P. Deshpande*, Chanakya Ekbote*, Arun Iyer, Ramakrishna Bairi and Sundararajan Sellamanickam Workshop on Mining and Learning with Graphs (MLG) at KDD 2023.
• [j] Capturing Symmetries of Quantum Optimization Algorithms Using Graph Neural Networks Ajinkya Deshpande, Alexey Melnikov Symmetry by MDPI 2022

Recent updates:

• September 2022. Our paper (for which I am first author), was accepted at NeurIPS '23 (also presented at MLG, KDD '23).
• July 2021 - August 2022: Worked as a Software Engineer II at Walmart Global Tech.
• March 2021 - June 2021: Worked as a Research Consultant at Terra Quantum AG, Switzerland, with publications and patents in quantum computing. Accepted in November 2022: Co-authored a journal article on "Capturing symmetries of Quantum Optimization Algorithms using Graph Neural Networks. Patent Pending: Application for "METHOD AND SYSTEM FOR SOLVING QUBO PROBLEMS WITH HYBRID CLASSICAL-QUANTUM SOLVERS."
• August 2021: Completed B.E. in Computer Science with a minor in Physics at BITS Pilani.
• January 2021 - May 2021: Completed an undergraduate thesis on the application of Graph Neural Networks to Quantum Computing.
• March 2021 - Developed the PAL Desktop Application at MIT Media Lab for screentime intervention.
• May 2020 - July 2020: Worked as a Software Engineer (Summer Intern) at Walmart Global Tech, focusing on scaling automated tests.