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06/05/2023
Structure-free Graph Condensation: From Large-scale Graphs to Condensed Graph-free Data
Graph condensation, which reduces the size of a large-scale graph by syn...
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11/19/2022
Local Contrastive Feature learning for Tabular Data
Contrastive self-supervised learning has been successfully used in many ...
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09/19/2022
OPR-Miner: Order-preserving rule mining for time series
Discovering frequent trends in time series is a critical task in data mi...
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07/25/2022
Deep Forest with Hashing Screening and Window Screening
As a novel deep learning model, gcForest has been widely used in various...
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01/09/2022
OPP-Miner: Order-preserving sequential pattern mining
A time series is a collection of measurements in chronological order. Di...
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11/12/2021
GraSSNet: Graph Soft Sensing Neural Networks
In the era of big data, data-driven based classification has become an e...
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08/12/2021
ST-PCNN: Spatio-Temporal Physics-Coupled Neural Networks for Dynamics Forecasting
Ocean current, fluid mechanics, and many other spatio-temporal physical ...
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08/11/2021
Physics-Coupled Spatio-Temporal Active Learning for Dynamical Systems
Spatio-temporal forecasting is of great importance in a wide range of dy...
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06/16/2021
Predictive Modeling of Hospital Readmission: Challenges and Solutions
Hospital readmission prediction is a study to learn models from historic...
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03/08/2021
Learning Graph Neural Networks with Positive and Unlabeled Nodes
Graph neural networks (GNNs) are important tools for transductive learni...
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01/07/2021
User Response Prediction in Online Advertising
Online advertising, as the vast market, has gained significant attention...
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10/14/2020
TriNE: Network Representation Learning for Tripartite Heterogeneous Networks
In this paper, we study network representation learning for tripartite h...
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09/21/2020
Evolutionary Architecture Search for Graph Neural Networks
Automated machine learning (AutoML) has seen a resurgence in interest wi...
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12/26/2019
Multi-Label Graph Convolutional Network Representation Learning
Knowledge representation of graph-based systems is fundamental across ma...
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12/26/2019
Feature-Attention Graph Convolutional Networks for Noise Resilient Learning
Noise and inconsistency commonly exist in real-world information network...
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10/21/2019
A Survey and Taxonomy of Adversarial Neural Networks for Text-to-Image Synthesis
Text-to-image synthesis refers to computational methods which translate ...
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01/14/2019
Search Efficient Binary Network Embedding
Traditional network embedding primarily focuses on learning a dense vect...
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01/14/2019