2 papers
cs.LG2025
Rethinking Graph Super-resolution: Dual Frameworks for Topological Fidelity
Pragya Singh, Islem Rekik
Graph super-resolution, the task of inferring high-resolution (HR) graphs from low-resolution (LR) counterparts, is an underexplored yet crucial research direction that circumvents…
cs.LG2024
Strongly Topology-preserving GNNs for Brain Graph Super-resolution
Pragya Singh, Islem Rekik
Brain graph super-resolution (SR) is an under-explored yet highly relevant task in network neuroscience. It circumvents the need for costly and time-consuming medical imaging data…