My name is Adarsh Jamadandi. I have a Master’s degree in Computer Science from Saarland University, Germany. My research interests include Graph Representation Learning and Geometric Deep Learning.
I will be starting as a CNRS PhD student under the supervision of Dr. Nicolas Keriven at IRISA, Rennes, France in September.
I am currently working as a research assistant at the SprintML Lab, studying the generalization behavior of graph neural networks under the supervision of Franziska Boenisch and Adam Dziedzic.
I finished my master’s thesis at the Relational Machine Learning Lab under the supervision of Dr. Rebekka Burkholz.
Previously, I completed my Bachelors in Electronics and Communication Engineering with Dr. Uma Mudenagudi as my advisor.
Updates
May , 2025 | Now pre-print alert! Finding Memo(rization) in Graph Neural Networks . |
January , 2025 | Now accepted at ICLR 2025! GNNs Getting ComFy: Community and Feature Similarity Guided Rewiring . |
September , 2024 | Accepted at NeurIPS 2024! Spectral Graph Pruning Against Over-Squashing and Over-Smoothing. |
August, 2024 | My master's thesis is now online! On the Importance of Graph-Task Alignment for Graph Neural Networks. |
December, 2020 | Graph of Thrones: Adversarial Perturbations dismantle Aristocracy in Graphs is accepted at AAAI'2021 Student Poster Program, and the extended version is accepted at DiffGeo4DL, NeurIPS 2020. |
November, 2020 | Probabilistic Word Embeddings in Kinematic Space, accepted at ICPR, 2020! |