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Deep Cross-Network Alignment with Anchor Node Pair Diverse Local Structure

Algorithms, 2023-04, Vol.16 (5), p.234

2023

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Multi-attributed heterogeneous graph convolutional network for bot detection

Information sciences, 2020-10, Vol.537, p.380-393

2020

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Multi-view change point detection in dynamic networks

Information sciences, 2023-06, Vol.629, p.344-357

2023

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Heterogeneous network representation learning based on role feature extraction

Pattern recognition, 2023-12, Vol.144, p.109870, Article 109870

2023

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TIMiner: Automatically extracting and analyzing categorized cyber threat intelligence from social data

Computers & security, 2020-08, Vol.95, p.101867-14, Article 101867

2020

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A novel combined dynamic ensemble selection model for imbalanced data to detect COVID-19 from complete blood count

Computer methods and programs in biomedicine, 2021-11, Vol.211, p.106444-106444, Article 106444

2021

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Motif-level Anomaly Detection in Dynamic Graphs

IEEE transactions on information forensics and security, 2023-01, Vol.18, p.1-1

2023

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Dynamic heterogeneous graph contrastive networks for knowledge tracing

Applied soft computing, 2024-11, Vol.166, p.112194, Article 112194

2024

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IISD: Integrated Interaction Subgraph Detection for event mining

Knowledge-based systems, 2022-03, Vol.240, p.108080, Article 108080

2022

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Deep expertise and interest personalized transformer for expert finding

Information processing & management, 2024-09, Vol.61 (5), p.103773, Article 103773

2024

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Tree decomposition based anomalous connected subgraph scanning for detecting and forecasting events in attributed social media networks

Neurocomputing (Amsterdam), 2020-09, Vol.407, p.83-93

2020

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Learning graph deep autoencoder for anomaly detection in multi-attributed networks

Knowledge-based systems, 2023-01, Vol.260, p.110084, Article 110084

2023

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RHGNN: Fake reviewer detection based on reinforced heterogeneous graph neural networks

Knowledge-based systems, 2023-11, Vol.280, p.111029, Article 111029

2023

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Cyber threat prediction using dynamic heterogeneous graph learning

Knowledge-based systems, 2022-03, Vol.240, p.108086, Article 108086

2022

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Automatically predicting cyber attack preference with attributed heterogeneous attention networks and transductive learning

Computers & security, 2021-03, Vol.102, p.102152, Article 102152

2021

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MASA: An efficient framework for anomaly detection in multi-attributed networks

Computers & security, 2021-03, Vol.102, p.102085, Article 102085

2021

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Towards comprehensive expert finding with a hierarchical matching network

Knowledge-based systems, 2022-12, Vol.257, p.109933, Article 109933

2022

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Dual Perspective Contrastive Learning Based Subgraph Anomaly Detection on Attributed Networks

Artificial Neural Networks and Machine Learning - ICANN 2022, 2022, Vol.13530, p.481-493

2022

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Geometry interaction network alignment

Neurocomputing (Amsterdam), 2022-08, Vol.501, p.618-628

2022

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Multi-users interaction anomalous subgraph detection for event mining

Neurocomputing (Amsterdam), 2022-10, Vol.509, p.34-45

2022

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Network Alignment enhanced via modeling heterogeneity of anchor nodes

Knowledge-based systems, 2022-08, Vol.250, p.109116, Article 109116

2022

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Porn2Vec: A robust framework for detecting pornographic websites based on contrastive learning

Knowledge-based systems, 2021-09, Vol.228, p.107296, Article 107296

2021

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Structured Sparsity Model Based Trajectory Tracking Using Private Location Data Release

IEEE transactions on dependable and secure computing, 2021-11, Vol.18 (6), p.2983-2995

2021

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An Efficient Approach to Event Detection and Forecasting in Dynamic Multivariate Social Media Networks

Proceedings of the 26th International Conference on World Wide Web, 2017, p.1631-1639

2017

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An Efficient Framework for Detecting Evolving Anomalous Subgraphs in Dynamic Networks

IEEE INFOCOM 2018 - IEEE Conference on Computer Communications, 2018, p.2258-2266

2018

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Deep Cross-Network Alignment with Anchor Node Pair Diverse Local Structure

Multi-attributed heterogeneous graph convolutional network for bot detection

Multi-view change point detection in dynamic networks

Heterogeneous network representation learning based on role feature extraction

TIMiner: Automatically extracting and analyzing categorized cyber threat intelligence from social data

A novel combined dynamic ensemble selection model for imbalanced data to detect COVID-19 from complete blood count

Motif-level Anomaly Detection in Dynamic Graphs

Dynamic heterogeneous graph contrastive networks for knowledge tracing

IISD: Integrated Interaction Subgraph Detection for event mining

Deep expertise and interest personalized transformer for expert finding

Tree decomposition based anomalous connected subgraph scanning for detecting and forecasting events in attributed social media networks

Learning graph deep autoencoder for anomaly detection in multi-attributed networks

RHGNN: Fake reviewer detection based on reinforced heterogeneous graph neural networks

Cyber threat prediction using dynamic heterogeneous graph learning

Automatically predicting cyber attack preference with attributed heterogeneous attention networks and transductive learning

MASA: An efficient framework for anomaly detection in multi-attributed networks

Towards comprehensive expert finding with a hierarchical matching network

Dual Perspective Contrastive Learning Based Subgraph Anomaly Detection on Attributed Networks

Geometry interaction network alignment

Multi-users interaction anomalous subgraph detection for event mining

Network Alignment enhanced via modeling heterogeneity of anchor nodes

Porn2Vec: A robust framework for detecting pornographic websites based on contrastive learning

Structured Sparsity Model Based Trajectory Tracking Using Private Location Data Release

An Efficient Approach to Event Detection and Forecasting in Dynamic Multivariate Social Media Networks

An Efficient Framework for Detecting Evolving Anomalous Subgraphs in Dynamic Networks

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