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Efficient Unsupervised Community Search with Pre-trained Graph Transformer

Summary: TransZero: pre-trained graph Transformer for zero-label community search, using personalization and link self-supervised losses to learn node embeddings. Query uses embedding similarity plus an expected-gain criterion for threshold-free extraction; efficient unsupervised algorithms yield superior performance on 10 datasets. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13453
Venue
VLDB
Year
2024
Pagerank
4.4417735e-05
Overall Rank
8,821 | 38.64%
DOI
10.14778/3665844.3665853

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