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GBLENDER: Towards Blending Visual Query Formulation and Query Processing in Graph Databases

Summary: Interleaves visual query construction with processing for subgraph matching in graph databases to prune results. Introduces action-aware indexing leveraging user interaction latency to accelerate retrieval, with real and synthetic data evaluation. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4299
Venue
SIGMOD
Year
2010
Pagerank
5.3514928e-05
Overall Rank
8,884 | 39.05%
DOI
10.1145/1807167.1807182

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{jin_sigmod10,
        title = {{GBLENDER: Towards Blending Visual Query Formulation and Query Processing in Graph Databases}},
        author = {Jin, Changjiu and Bhowmick, Sourav S and Xiao, Xiaokui and Choi, Byron and Cheng, James},
        series = {{SIGMOD} '10},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1807167.1807182},
        url = {https://dl.acm.org/doi/10.1145/1807167.1807182},
        year = {2010}
}

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