On the successful Incorporation of Scale into Graph Neural Networks
Best Paper & Oral @ ICLR 2025 Workshop on Machine Learning Multiscale Processes, 2025
Publications
You can also find my articles on my Google Scholar profile.
Machine Learning
Transferability for Graph Convolutional Networks
Outstanding Abstract @ ICML 2024 Workshop on Geometry-grounded Representation Learning and Generative Modeling, 2024
HoloNets: Spectral Convolutions do extend to Directed Graphs
ICLR - International Conference on Learning Representations. Also accepted at: NeurIPS 2023 New Frontiers in Graph Learning Workshop (Oral); Graph Signal Processing Workshop 2024 (Oral)., 2024
ResolvNet: A Graph Convolutional Network with multi-scale Consistency
Oral @ New Frontiers in Graph Learning Workshop (NeurIPS 2023), 2023
Limitless stability for Graph Convolutional Networks
ICLR - International Conference on Learning Representations, 2023
Graph Scattering beyond Wavelet Shackles
NeurIPS - Advances in Neural Information Processing Systems, 2022
Physics
Dirac equation on a square waveguide lattice with site-dependent coupling strengths and the gravitational Aharonov-Bohm effect
American Physical Society, 2020