Meta Deploys RankGraph-2 for Billion-Node Graph Learning in Recommendation

Jul 14, 2026

Meta introduces RankGraph-2, a framework that co-designs graph construction, representation learning, and real-time serving for similarity-based retrieval at billion-node scale. The system reduces serving computational cost by 83% and achieves up to +0.96% click-through rate (CTR) and +2.75% conversion rate (CVR) improvements. RankGraph-2 has been deployed to power over 20 retrieval launches across major Meta surfaces.

Why it matters: RankGraph-2 demonstrates a significant advance in large-scale recommendation systems by jointly optimizing all stages of graph-based retrieval, resulting in notable efficiency and performance gains.

Full story at: arXiv Information Retrieval ↗