Message-passing GNNs can be successfully deployed on production-scale social graphs with hundreds of millions of users and tens of billions of edges

We present a scalable end-to-end GNN ranking system for production social graphs, focusing on two design choices that are critical in this setting: multi-hash ID embeddings and temporal neighbor sampling.

http://arxiv.org/abs/2608.27413v1