GNNear: Accelerating Full-Batch Training of Graph Neural Networks with Near-Memory Processing

Zhe Zhou, Cong Li, Xuechao Wei +2

Recently, Graph Neural Networks (GNNs) have become state-of-the-art algorithms for analyzing non-euclidean graph data. However, to realize efficient GNN training is challenging, es…