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Deep Learning for Spatio-Temporal Data Mining: A Survey

IEEE transactions on knowledge and data engineering, 2022-08, Vol.34 (8), p.1-1

2022

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Graph Self-Supervised Learning: A Survey

IEEE transactions on knowledge and data engineering, 2023-06, Vol.35 (6), p.5879-5900

2023

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Generalizing to Unseen Domains: A Survey on Domain Generalization

IEEE transactions on knowledge and data engineering, 2023-08, Vol.35 (8), p.8052-8072

2023

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A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning

IEEE transactions on knowledge and data engineering, 2023-02, Vol.35 (2), p.1149-1170

2023

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A Survey on Knowledge Graphs: Representation, Acquisition, and Applications

IEEE transaction on neural networks and learning systems, 2022-02, Vol.33 (2), p.494-514

2022

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A Comprehensive Survey on Graph Neural Networks

IEEE transaction on neural networks and learning systems, 2021-01, Vol.32 (1), p.4-24

2021

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PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning

IEEE transactions on pattern analysis and machine intelligence, 2023-02, Vol.45 (2), p.2208-2225

2023

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Heterogeneous Information Network Embedding for Recommendation

IEEE transactions on knowledge and data engineering, 2019-02, Vol.31 (2), p.357-370

2019

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Data Science: 6th International Conference, ICDS 2019, Ningbo, China, May 15-20, 2019, Revised Selected Papers

1st ed. 2020., 2020

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Multi-View Multi-Label Learning With Sparse Feature Selection for Image Annotation

IEEE transactions on multimedia, 2020-11, Vol.22 (11), p.2844-2857

2020

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Heterogeneous Graph Propagation Network

IEEE transactions on knowledge and data engineering, 2023-01, Vol.35 (1), p.521-532

2023

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Higher-Order Attribute-Enhancing Heterogeneous Graph Neural Networks

IEEE transactions on knowledge and data engineering, 2023-01, Vol.35 (1), p.560-574

2023

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Privacy and Robustness in Federated Learning: Attacks and Defenses

IEEE transaction on neural networks and learning systems, 2024-07, Vol.35 (7), p.8726-8746

2024

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Privacy-Preserving Deep Learning Model for Decentralized VANETs Using Fully Homomorphic Encryption and Blockchain

IEEE transactions on intelligent transportation systems, 2022-08, Vol.23 (8), p.11633-11642

2022

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An Integrated Cluster Detection, Optimization, and Interpretation Approach for Financial Data

IEEE transactions on cybernetics, 2022-12, Vol.52 (12), p.13848-13861

2022

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Privacy-Preserving Data Mining: Models and Algorithms

1. Aufl., 2008

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A Domain Adaptive Density Clustering Algorithm for Data With Varying Density Distribution

IEEE transactions on knowledge and data engineering, 2021-06, Vol.33 (6), p.2310-2321

2021

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FakeDetector: Effective Fake News Detection with Deep Diffusive Neural Network

2020 IEEE 36th International Conference on Data Engineering (ICDE), 2020, p.1826-1829

2020

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Direction-of-Arrival Estimation Based on Deep Neural Networks With Robustness to Array Imperfections

IEEE transactions on antennas and propagation, 2018-12, Vol.66 (12), p.7315-7327

2018

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HeteSim: A General Framework for Relevance Measure in Heterogeneous Networks

IEEE transactions on knowledge and data engineering, 2014-10, Vol.26 (10), p.2479-2492

2014

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More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence

IEEE transactions on knowledge and data engineering, 2022-06, Vol.34 (6), p.2824-2843

2022

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Reinforced, Incremental and Cross-Lingual Event Detection From Social Messages

IEEE transactions on pattern analysis and machine intelligence, 2023-01, Vol.45 (1), p.980-998

2023

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Machine Unlearning: A Survey

ACM computing surveys, 2024-01, Vol.56 (1), p.1-36, Article 9

2024

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A Robust Game-Theoretical Federated Learning Framework With Joint Differential Privacy

IEEE transactions on knowledge and data engineering, 2023-04, Vol.35 (4), p.3333-3346

2023

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Network Embedding With Completely-Imbalanced Labels

IEEE transactions on knowledge and data engineering, 2021-11, Vol.33 (11), p.3634-3647

2021

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Deep Learning for Spatio-Temporal Data Mining: A Survey

Graph Self-Supervised Learning: A Survey

Generalizing to Unseen Domains: A Survey on Domain Generalization

A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning

A Survey on Knowledge Graphs: Representation, Acquisition, and Applications

A Comprehensive Survey on Graph Neural Networks

PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning

Heterogeneous Information Network Embedding for Recommendation

Data Science: 6th International Conference, ICDS 2019, Ningbo, China, May 15-20, 2019, Revised Selected Papers

Multi-View Multi-Label Learning With Sparse Feature Selection for Image Annotation

Heterogeneous Graph Propagation Network

Higher-Order Attribute-Enhancing Heterogeneous Graph Neural Networks

Privacy and Robustness in Federated Learning: Attacks and Defenses

Privacy-Preserving Deep Learning Model for Decentralized VANETs Using Fully Homomorphic Encryption and Blockchain

An Integrated Cluster Detection, Optimization, and Interpretation Approach for Financial Data

Privacy-Preserving Data Mining: Models and Algorithms

A Domain Adaptive Density Clustering Algorithm for Data With Varying Density Distribution

FakeDetector: Effective Fake News Detection with Deep Diffusive Neural Network

Direction-of-Arrival Estimation Based on Deep Neural Networks With Robustness to Array Imperfections

HeteSim: A General Framework for Relevance Measure in Heterogeneous Networks

More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence

Reinforced, Incremental and Cross-Lingual Event Detection From Social Messages

Machine Unlearning: A Survey

A Robust Game-Theoretical Federated Learning Framework With Joint Differential Privacy

Network Embedding With Completely-Imbalanced Labels

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