LGApr 29

Large-scale semi-supervised learning with online spectral graph sparsification

arXiv:2604.2655042.5
AI Analysis

Provides a scalable solution for semi-supervised learning on massive graphs, addressing memory and time bottlenecks for practitioners.

Sparse-HFS solves large-scale semi-supervised learning problems with O(n polylog(n)) space and O(m polylog(n)) time, enabling processing of graphs with billions of edges on a single machine.

We introduce Sparse-HFS, a scalable algorithm that can compute solutions to SSL problems using only O(n polylog(n)) space and O(m polylog(n)) time.

Foundations

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