2 papers
cs.LG2026
Laplacian-LoRA: Delaying Oversmoothing in Deep GCNs via Spectral Low-Rank Adaptation
Sai Vamsi Alisetti
Oversmoothing is a fundamental limitation of deep graph convolutional networks (GCNs), causing node representations to collapse as depth increases. While many prior approaches miti…
cs.LG2025
Beyond Attention: Learning Spatio-Temporal Dynamics with Emergent Interpretable Topologies
Sai Vamsi Alisetti, Vikas Kalagi, Sanjukta Krishnagopal
Spatio-temporal forecasting is critical in applications such as traffic prediction, energy demand modeling, and weather monitoring. While Graph Attention Networks (GATs) are popula…