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Efficient Estimation of Heat Kernel PageRank for Local Clustering

Summary: TEA and TEA+: HKPR-based local clustering with relative-error guarantees and near-linear time in cluster size, via deterministic rough HKPR and Monte Carlo refinement. TEA+ beats prior methods ~4x on real graphs (Twitter, Friendster), enabling scalable clustering on billion-edge networks. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5698
Venue
SIGMOD
Year
2019
Pagerank
5.36473e-05
Overall Rank
5,702 | 60.34%
DOI
10.1145/3299869.3319886

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