Preprint
Aug 2026
Scaling Graph Neural Networks for Friend Recommendation: Multi-Hash User Embeddings and Temporal Neighbor Sampling
This work presents 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.
Maksim Utushkin, A. Ovsiannikov, Alexander D'yakonov
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