UniDisc learns cross-modal representations from data lake context using a heterogeneous graph to unify natural language and table-based data discovery across diverse intents.
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cs.DB 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
An LSH-based system with adaptive bucket probing, progressive sampling, and product quantization estimates cardinality for high-dimensional similarity queries efficiently.
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Unified Data Discovery across Query Modalities and User Intents
UniDisc learns cross-modal representations from data lake context using a heterogeneous graph to unify natural language and table-based data discovery across diverse intents.
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Cardinality Estimation for High Dimensional Similarity Queries with Adaptive Bucket Probing
An LSH-based system with adaptive bucket probing, progressive sampling, and product quantization estimates cardinality for high-dimensional similarity queries efficiently.