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08/30/2023
Efficient and Explainable Graph Neural Architecture Search via Monte-Carlo Tree Search
Graph neural networks (GNNs) are powerful tools for performing data scie...
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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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06/08/2023
Learned spatial data partitioning
Due to the significant increase in the size of spatial data, it is essen...
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04/18/2023
Doubly Robust Estimators with Weak Overlap
In this paper, we derive a new class of doubly robust estimators for tre...
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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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10/24/2022
Path association rule mining
Graph association rule mining is a data mining technique used for discov...
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10/11/2022
On Uniform Confidence Intervals for the Tail Index and the Extreme Quantile
This paper presents two results concerning uniform confidence intervals ...
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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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01/30/2022
Similarity Search on Computational Notebooks
Computational notebook software such as Jupyter Notebook is popular for ...
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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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04/14/2021
Cost-constrained Minimal Steiner Tree Enumeration by Binary Decision Diagram
The Steiner tree enumeration problem is a well known problem that asks f...
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02/12/2021
Linear programming approach to nonparametric inference under shape restrictions: with an application to regression kink designs
We develop a novel method of constructing confidence bands for nonparame...
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09/10/2020
Inference for high-dimensional exchangeable arrays
We consider inference for high-dimensional exchangeable arrays where the...
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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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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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03/18/2018