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Neural Attributed Community Search at Billion Scale

Summary: Neural attributed community search for billion-scale graphs. ALICE combines density sketch modularity to extract modular k-hop subgraph and a cross-attention ConNet on a node-attr graph to predict communities under structure-attr and local consistency. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6815
Venue
SIGMOD
Year
2023
Pagerank
6.0551011e-05
Overall Rank
5,877 | 59.68%
DOI
10.1145/3626738

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{wang_sigmod23,
        title = {{Neural Attributed Community Search at Billion Scale}},
        author = {Wang, Jianwei and Wang, Kai and Lin, Xuemin and Zhang, Wenjie and Zhang, Ying},
        series = {{SIGMOD} '23},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3626738},
        url = {https://dl.acm.org/doi/10.1145/3626738},
        year = {2023}
}

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