Hi 👋

I’m Adarsh Jamadandi. I’m a PhD student at IRISA, Rennes, working on Graph Representation Learning and Geometric Deep Learning under the supervision of Dr. Nicolas Keriven and co-supervised by Dr. Aline Roumy.

I completed my Master’s in Computer Science at Saarland University, Germany, where I wrote my thesis at the Relational Machine Learning Lab with Dr. Rebekka Burkholz.

Before starting my PhD, I worked as a research assistant at the SprintML Lab with Franziska Boenisch and Adam Dziedzic.

I hold a Bachelor’s degree in Electronics and Communication Engineering from India. My thesis was on anomaly detection in videos with Dr. Uma Mudenagudi as my advisor.

My CV can be found here.

Updates

September 2025 Excited! to start as a PhD student at IRISA, Rennes.

May 2025 Now pre-print alert! Memorization in Graph Neural Networks.

March 2025 Started as a research assistant at SprintML Lab under the supervision of Franziska Boenisch and Adam Dziedzic. I will be working on understanding if GNNs also memorize.

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.

November 2022 Started as a research assistant at the Relational Machine Learning Group, under Dr. Rebekka Burkholz. I will be working on improving the generalizability of GNNs by tackling problems like over-squashing and over-smoothing.

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.