Laishui Lv
Orcid: 0000-0003-1742-9586
According to our database1,
Laishui Lv
authored at least 12 papers
between 2019 and 2024.
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Bibliography
2024
A Community-Based Centrality Measure for Identifying Key Nodes in Multilayer Networks.
IEEE Trans. Comput. Soc. Syst., April, 2024
An improved gravity centrality for finding important nodes in multi-layer networks based on multi-PageRank.
Expert Syst. Appl., March, 2024
2023
Deep Autoencoder-like non-negative matrix factorization with graph regularized for link prediction in dynamic networks.
Appl. Soft Comput., November, 2023
ICCL: Independent and Correlative Correspondence Learning for few-shot image classification.
Knowl. Based Syst., April, 2023
Community Detection in Multilayer Networks Via Semi-Supervised Joint Symmetric Nonnegative Matrix Factorization.
IEEE Trans. Netw. Sci. Eng., 2023
An efficient and secure data collection scheme for predictive maintenance of vehicles.
Ad Hoc Networks, 2023
2022
Dual-Channel and Hierarchical Graph Convolutional Networks for document-level relation extraction.
Expert Syst. Appl., 2022
Joint extraction of entities and overlapping relations by improved graph convolutional networks.
Appl. Intell., 2022
2021
Neurocomputing, 2021
Eigenvector-based centralities for multilayer temporal networks under the framework of tensor computation.
Expert Syst. Appl., 2021
2020
J. Comput., 2020
2019
Eigenvector Centrality Measure Based on Node Similarity for Multilayer and Temporal Networks.
IEEE Access, 2019