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!