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06/14/2023
Why Using Either Aggregated Features or Adjacency Lists in Directed or Undirected Graph? Empirical Study and Simple Classification Method
Node classification is one of the hottest tasks in graph analysis. In th...
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06/11/2023
GuP: Fast Subgraph Matching by Guard-based Pruning
Subgraph matching, which finds subgraphs isomorphic to a query, is the k...
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06/08/2023
Learned spatial data partitioning
Due to the significant increase in the size of spatial data, it is essen...
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03/31/2023
Scardina: Scalable Join Cardinality Estimation by Multiple Density Estimators
In recent years, machine learning-based cardinality estimation methods a...
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03/29/2023
NoSQL Schema Design for Time-Dependent Workloads
In this paper, we propose a schema optimization method for time-dependen...
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11/10/2022
Ultraverse: Efficient Retroactive Operation for Attack Recovery in Database Systems and Web Frameworks
Retroactive operation is an operation that changes a past operation in a...
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07/25/2022
GNN Transformation Framework for Improving Efficiency and Scalability
We propose a framework that automatically transforms non-scalable GNNs i...
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07/06/2022
Scaling Private Deep Learning with Low-Rank and Sparse Gradients
Applying Differentially Private Stochastic Gradient Descent (DPSGD) to t...
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06/27/2022
An Empirical Study of Personalized Federated Learning
Federated learning is a distributed machine learning approach in which a...
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06/21/2022
Predicting Parking Lot Availability by Graph-to-Sequence Model: A Case Study with SmartSantander
Nowadays, so as to improve services and urban areas livability, multiple...
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06/18/2022
Beyond Real-world Benchmark Datasets: An Empirical Study of Node Classification with GNNs
Graph Neural Networks (GNNs) have achieved great success on a node class...
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05/17/2022
Journey of Migrating Millions of Queries on The Cloud
Treasure Data is processing millions of distributed SQL queries every da...
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01/30/2022
Similarity Search on Computational Notebooks
Computational notebook software such as Jupyter Notebook is popular for ...
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10/18/2021
Fast and Exact Outlier Detection in Metric Spaces: A Proximity Graph-based Approach
Distance-based outlier detection is widely adopted in many fields, e.g.,...
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10/15/2021
FedMe: Federated Learning via Model Exchange
Federated learning is a distributed machine learning method in which a s...
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08/16/2021
AIREX: Neural Network-based Approach for Air Quality Inference in Unmonitored Cities
Urban air pollution is a major environmental problem affecting human hea...
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04/14/2021
Smart City Data Analysis via Visualization of Correlated Attribute Patterns
Urban conditions are monitored by a wide variety of sensors that measure...
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12/28/2020
Fast Subgraph Matching by Exploiting Search Failures
Subgraph matching is a compute-intensive problem that asks to enumerate ...
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09/08/2020
Sequenced Route Query with Semantic Hierarchy
The trip planning query searches for preferred routes starting from a gi...
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09/04/2020
Efficient Network Reliability Computation in Uncertain Graphs
Network reliability is an important metric to evaluate the connectivity ...
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03/06/2020
Structural Indexing for Conjunctive Path Queries
Structural indexing is an approach to accelerating query evaluation, whe...
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02/15/2020
Monotonic Cardinality Estimation of Similarity Selection: A Deep Learning Approach
Due to the outstanding capability of capturing underlying data distribut...
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09/27/2018
Making View Update Strategies Programmable - Toward Controlling and Sharing Distributed Data -
Views are known mechanisms for controlling access of data and for sharin...
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09/21/2018
Non-linear Attributed Graph Clustering by Symmetric NMF with PU Learning
We consider the clustering problem of attributed graphs. Our challenge i...
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03/18/2018