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12/15/2022
TED: Towards Discovering Top-k Edge-Diversified Patterns in a Graph Database
With an exponentially growing number of graphs from disparate repositori...
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07/06/2021
PM-LSH: a fast and accurate in-memory framework for high-dimensional approximate NN and closest pair search
Nearest neighbor (NN) search is inherently computationally expensive in ...
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03/14/2021
TRUST: Triangle Counting Reloaded on GPUs
Triangle counting is a building block for a wide range of graph applicat...
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01/22/2021
REPOSE: Distributed Top-k Trajectory Similarity Search with Local Reference Point Tries
Trajectory similarity computation is a fundamental component in a variet...
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09/24/2020
SOUP: Spatial-Temporal Demand Forecasting and Competitive Supply
We consider a setting with an evolving set of requests for transportatio...
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12/06/2017
A Context-Aware User-Item Representation Learning for Item Recommendation
Both reviews and user-item interactions (i.e., rating scores) have been ...
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09/20/2017