GNN memory-efficiency optimization paper is published in IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS’21)!

👏 Paper title: Optimizing Memory Efficiency of Graph Neural Networks on Edge Computing Platforms. In this paper, a feature decomposition approach is proposed for memory efficiency optimization of GNN inference on edge computing platforms. [related project]