Graph Query Reformulation with Diversity
Author:
Affiliation:
1. University of Trento, Trento, Italy
2. Yahoo Labs, Barcelona, Spain
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/2783258.2783343
Reference35 articles.
1. Techniques for efficiently querying scientific workflow provenance graphs
2. Efficient matching and indexing of graph models in content-based retrieval
3. Query reformulation mining: models, patterns, and applications
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