Author

Shuowei Hou

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Preprint Aug 2026

SNAP-tFDP: Massively Scalable Graph Layouts via Sparse Negative Sampling

Comprehensive evaluations on 12 large-scale graphs demonstrate that the proposed negative sampling-based algorithm outperforms state-of-the-art algorithms in neighborhood preservation and cluster separation and reduces memory consumption by 72% on average.

Xin Chen, Shuowei Hou, Yifan Wang et al. · 0 citations