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08/14/2023
Learning to Optimize LSM-trees: Towards A Reinforcement Learning based Key-Value Store for Dynamic Workloads
LSM-trees are widely adopted as the storage backend of key-value stores....
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05/17/2023
River of No Return: Graph Percolation Embeddings for Efficient Knowledge Graph Reasoning
We study Graph Neural Networks (GNNs)-based embedding techniques for kno...
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05/17/2023
SIMGA: A Simple and Effective Heterophilous Graph Neural Network with Efficient Global Aggregation
Graph neural networks (GNNs) realize great success in graph learning but...
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04/08/2023
Massively Parallel Single-Source SimRanks in o(log n) Rounds
SimRank is one of the most fundamental measures that evaluate the struct...
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03/28/2023
Distributed Graph Embedding with Information-Oriented Random Walks
Graph embedding maps graph nodes to low-dimensional vectors, and is wide...
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03/20/2023
Less is More: Towards Lightweight Cost Estimator for Database Systems
We present FasCo, a simple yet effective learning-based estimator for th...
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06/30/2022
Proteus: A Self-Designing Range Filter
We introduce Proteus, a novel self-designing approximate range filter, w...
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05/05/2022
Spiking Graph Convolutional Networks
Graph Convolutional Networks (GCNs) achieve an impressive performance du...
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04/03/2022