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.
Research Goal
Scaling GNN Training
