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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
4237
Venue
SIGMOD
Year
2010
Pagerank
4.4593116e-05
Overall Rank
8,726 | 39.30%
DOI
-

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