Exploring Large‑Scale Graph Neural Network Applications and System Optimizations at Tencent
This article reviews Tencent's research on large‑scale graph neural networks, covering three memory/computation paradigms, the SAGA extension of the GAS model, various system optimizations such as graph partitioning and feature transmission, and future challenges including non‑message‑passing models and geometric information.