1 citations · 1 across the 2 of their papers we have counts for
3 papers
eess.SY2026
Topology-Aware Reinforcement Learning over Graphs for Resilient Power Distribution Networks
Roshni Anna Jacob, Prithvi Poddar, Jaidev Goel +3
Extreme weather events and cyberattacks can cause component failures and disrupt the operation of power distribution networks (DNs), during which reconfiguration and load shedding…
cs.LG2025★ 1 cited
TMetaNet: Topological Meta-Learning Framework for Dynamic Link Prediction
Hao Li, Hao Wan, Yuzhou Chen +3
Dynamic graphs evolve continuously, presenting challenges for traditional graph learning due to their changing structures and temporal dependencies. Recent advancements have shown…
cs.LG2024
When Witnesses Defend: A Witness Graph Topological Layer for Adversarial Graph Learning
Naheed Anjum Arafat, Debabrota Basu, Yulia Gel +1
Capitalizing on the intuitive premise that shape characteristics are more robust to perturbations, we bridge adversarial graph learning with the emerging tools from computational t…