Wei Yu

Orcid: 0000-0003-3459-3695

Affiliations:
  • Tianjin University, School of Computer Science and Technology, China


According to our database1, Wei Yu authored at least 22 papers between 2017 and 2024.

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Bibliography

2024
Link prediction in bipartite networks via effective integration of explicit and implicit relations.
Neurocomputing, January, 2024

2023
Local node feature modeling for edge computing based on network embedding in dynamic networks.
J. Parallel Distributed Comput., January, 2023

2022
STHGCN: A spatiotemporal prediction framework based on higher-order graph convolution networks.
Knowl. Based Syst., 2022

AAAN: Anomaly Alignment in Attributed Networks.
Knowl. Based Syst., 2022

Cold-Start Link Prediction via Weighted Symmetric Nonnegative Matrix Factorization with Graph Regularization.
Comput. Syst. Sci. Eng., 2022

Heterogeneous Information Network Representation Learning Incorporating Community Structure.
IEEE Access, 2022

ML-GAT: A Multilevel Graph Attention Model for Stock Prediction.
IEEE Access, 2022

2021
Higher-Order Multiple-Feature-based Community Evolution Model with Potential Applications in Criminal Network Investigation.
Future Gener. Comput. Syst., 2021

Analysis of 5G academic Network based on graph representation learning method.
CoRR, 2021

Modeling Community Evolution Characteristics of Dynamic Networks with Evolutionary Bayesian Nonnegative Matrix Factorization.
Complex., 2021

2020
Local Structure and High-Order Feature Preserved Network Embedding Based on Non-Negative Matrix Factorization.
IEEE Access, 2020

Anomaly Subgraph Detection with Feature Transfer.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Evolutionary clustering via graph regularized nonnegative matrix factorization for exploring temporal networks.
Knowl. Based Syst., 2019

Multi-layer network community detection model based on attributes and social interaction intensity.
Comput. Electr. Eng., 2019

Modeling the Local and Global Evolution Pattern of Community Structures for Dynamic Networks Analysis.
IEEE Access, 2019

A Double Non-Negative Matrix Factorization Model for Signed Network Analysis.
Proceedings of the 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2019

Boosting Temporal Community Detection via Modeling Community Evolution Characteristics.
Proceedings of the 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2019

2018
Exploring temporal community structure and constant evolutionary pattern hiding in dynamic networks.
Neurocomputing, 2018

Highlighting Link Prediction in Bipartite Networks via Structural Perturbation.
IEEE Access, 2018

2017
Exploring Intracity Taxi Mobility during the Holidays for Location-Based Marketing.
Mob. Inf. Syst., 2017

Kernel framework based on non-negative matrix factorization for networks reconstruction and link prediction.
Knowl. Based Syst., 2017

An Efficient Critical Incident Propagation Model for Social Networks Based on Trust Factor.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2017


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