#graph neural networks
Sep 2026
Malope: Memory-Aware and Locality-Preserved Graph Neural Network Training
Training GNNs on large-scale graphs imposes significant memory constraints for storing substantial amounts of graph structures and node features. This often necessitates the use of memory extensions such as SSDs, leading to a memory hierarchy with disparities in capacity and access speed. Existing approaches focus on m...
Junkun Shen, Yuezhi Che, Haoran Zhou et al.
· IEEE Transactions on Paralle... · 0 citations