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.
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. |