My name is Adarsh Jamadandi. I am a Research Assistant at the Relational Machine Learning Lab led by Dr. Rebekka Burkholz. My research interests include Graph Representation Learning and Geometric Deep Learning. I maintain a list of my publications under the Research tab.
I am a last year Masters student in Computer Science at the Saarland University. I completed my Bachelors in Electronics and Communication Engineering with Dr. Uma Mudenagudi as my advisor. Check out my CV for more details.
Updates
| January, 2024 | New Pre-print Alert! Spectral Pruning Against Over-Squashing and Over-Smoothing. We propose a novel graph modification framework that optimizes spectral gap by pruning edges. We show we can address both over-squashing and over-smoothing in Graph Neural Networks! |
| November, 2022 | Started as a research assistant at the Relational Machine Learning Group, CISPA, under Prof. Dr. Rebekka Burkholz. I will be working on improving the generalizability of graph neural networks by trying to tackle problems like over-squashing and over-smoothing. |
| July, 2022 | Got accepted at EEML Summer school. Excited to learn about the latest in ML and AI from the best minds in the field! |
| November, 2021 | Started working as a research assistant at the Modelling and Simulation Lab headed by Dr. Prof. Verena Wolf. I will be working on modelling molecular spectra using graph neural networks. |
| July, 2021 | Excited to be part of the Geometry and Machine Learning Summer School, 2021. I will be working on Coarsening Disassortative Graphs. |
| 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! |