Graph Systems
Large-Scale GNN Training
Scaling GNN Training
Active ResearchOverview
A GNN training framework designed to handle large graphs efficiently by eliminating remote accesses during sampling. It actively repartitions the graph and dynamically adjusts gradient weights, achieving up to 13x speedup over state-of-the-art systems.
Related Publications
GNN Partitioning Survey (GRADES-NDA 2025)