BiLink: Bidirectional Meta-paths for Link Discovery in Billion-Scale Heterogeneous Graphs
Summary: BiLink unifies heterogeneous meta-paths as bidirectional path tables, enabling uniform distributed sampling that avoids exponential long-path costs. BiPathNN jointly Transformer-encodes the two-sided instances, achieving 13× faster sampling, 6% higher average precision, and deployment at 1.8B candidate pairs. (summarized by gpt-5.6-luna on Aug 28 2026)
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Authors
- 1. Jinquan Hang (Rutgers University)
- 2. Zhiqing Hong (Hong Kong University of Science and Technology)
- 3. Xinyue Feng (Rutgers University)
- 4. Desheng Zhang (Rutgers University)
- 5. Haotian Wang (JD Group)
- 6. Guang Wang (Florida State University)
BibTeX Citation
@article{hang_vldb26,
title = {{BiLink: Bidirectional Meta-paths for Link Discovery in Billion-Scale Heterogeneous Graphs}},
author = {Hang, Jinquan and Hong, Zhiqing and Feng, Xinyue and Zhang, Desheng and Wang, Haotian and Wang, Guang},
journal = {PVLDB},
series = {{VLDB} '26},
volume = {19},
number = {12},
pages = {4316--4329},
doi = {10.14778/3828098.3828035},
url = {https://doi.org/10.14778/3828098.3828035},
year = {2026}
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