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 26 papers between 2017 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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Bibliography

2024

VGCas: distinguishing the cascade structure and the global structure in popularity prediction.

[BibT_eX]

[DOI]

Soc. Netw. Anal. Min., December, 2024

MRFS: Mining Rating Fraud Subgraph in Bipartite Graph for Users and Products.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Soc. Syst., June, 2024

TC-GCN: Triple cross-attention and graph convolutional network for traffic forecasting.

[BibT_eX]

[DOI]

Inf. Fusion, May, 2024

Link prediction in bipartite networks via effective integration of explicit and implicit relations.

[BibT_eX]

[DOI]

Neurocomputing, January, 2024

2023

Neighborhood overlap-aware heterogeneous hypergraph neural network for link prediction.

[BibT_eX]

[DOI]

Pattern Recognit., December, 2023

Local node feature modeling for edge computing based on network embedding in dynamic networks.

[BibT_eX]

[DOI]

J. Parallel Distributed Comput., January, 2023

2022

STHGCN: A spatiotemporal prediction framework based on higher-order graph convolution networks.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

AAAN: Anomaly Alignment in Attributed Networks.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

Cold-Start Link Prediction via Weighted Symmetric Nonnegative Matrix Factorization with Graph Regularization.

[BibT_eX]

[DOI]

Comput. Syst. Sci. Eng., 2022

Heterogeneous Information Network Representation Learning Incorporating Community Structure.

[BibT_eX]

[DOI]

IEEE Access, 2022

ML-GAT: A Multilevel Graph Attention Model for Stock Prediction.

[BibT_eX]

[DOI]

IEEE Access, 2022

2021

Higher-Order Multiple-Feature-based Community Evolution Model with Potential Applications in Criminal Network Investigation.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

Complex., 2021

2020

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

[BibT_eX]

[DOI]

IEEE Access, 2020

Anomaly Subgraph Detection with Feature Transfer.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2019

Multi-layer network community detection model based on attributes and social interaction intensity.

[BibT_eX]

[DOI]

Comput. Electr. Eng., 2019

Modeling the Local and Global Evolution Pattern of Community Structures for Dynamic Networks Analysis.

[BibT_eX]

[DOI]

IEEE Access, 2019

A Double Non-Negative Matrix Factorization Model for Signed Network Analysis.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2019

Boosting Temporal Community Detection via Modeling Community Evolution Characteristics.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Neurocomputing, 2018

Highlighting Link Prediction in Bipartite Networks via Structural Perturbation.

[BibT_eX]

[DOI]

IEEE Access, 2018

2017

Exploring Intracity Taxi Mobility during the Holidays for Location-Based Marketing.

[BibT_eX]

[DOI]

Mob. Inf. Syst., 2017

Kernel framework based on non-negative matrix factorization for networks reconstruction and link prediction.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2017

An Efficient Critical Incident Propagation Model for Social Networks Based on Trust Factor.

[BibT_eX]

[DOI]

Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2017

Wei Yu

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