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Multi-hash embeddings can shrink GNN ID tables by over 98%, revolutionizing friend recommendation systems at scale.
HEGM not only stabilizes watch-time predictions but also boosts user engagement in real-world applications, outperforming its predecessor in both accuracy and interpretability.