Pengli Lu
Orcid: 0000-0002-9949-4850
According to our database1,
Pengli Lu
authored at least 30 papers
between 2009 and 2025.
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Bibliography
2025
MGDRGCN: A novel framework for predicting metabolite-disease connections using tripartite network and relational graph convolutional network.
J. Comput. Sci., 2025
2024
Identifying Influential Nodes in Complex Networks From Semi-Local and Global Perspective.
IEEE Trans. Comput. Soc. Syst., April, 2024
AMPCDA: Prediction of circRNA-disease associations by utilizing attention mechanisms on metapaths.
Comput. Biol. Chem., February, 2024
RDGAN: Prediction of circRNA-Disease Associations via Resistance Distance and Graph Attention Network.
IEEE ACM Trans. Comput. Biol. Bioinform., 2024
Identification of key nodes in complex networks by using a joint technique of nonnegative matrix factorization and regularization.
Phys. Commun., 2024
GEHGAN: CircRNA-disease association prediction via graph embedding and heterogeneous graph attention network.
Comput. Biol. Chem., 2024
ACDMBI: A deep learning model based on community division and multi-source biological information fusion predicts essential proteins.
Comput. Biol. Chem., 2024
MGDHGS: Gene-bridged metabolite-disease relationships prediction via GraphSAGE and self-attention mechanism.
Comput. Biol. Chem., 2024
AE-RW: Predicting miRNA-disease associations by using autoencoder and random walk on miRNA-gene-disease heterogeneous network.
Comput. Biol. Chem., 2024
DCSGMDA: A dual-channel convolutional model based on stacked deep learning collaborative gradient decomposition for predicting miRNA-disease associations.
Comput. Biol. Chem., 2024
2023
Combining transformer-based model and GCN to predict ICD codes from clinical records.
Knowl. Based Syst., December, 2023
HCGCCDA: Prediction of circRNA-disease associations based on the combination of hypergraph convolution and graph convolution.
J. Comput. Sci., December, 2023
Discret. Math. Algorithms Appl., February, 2023
Probing the influence maximization-cost minimization problem in social networks by using a multi-objective discrete differential evolution optimization.
Proceedings of the 2023 4th International Conference on Computing, 2023
2021
A novel method based on node correlation to evaluate the important nodes in complex networks.
CoRR, 2021
2020
EMH: Extended Mixing H-index centrality for identification important users in social networks based on neighborhood diversity.
CoRR, 2020
Ranking the spreading influence of nodes in complex networks based on mixing degree centrality and local structure.
CoRR, 2020
Two New Methods for Identifying Essential Proteins Based on the Protein Complexes and Topological Properties.
IEEE Access, 2020
2018
Discret. Math. Algorithms Appl., 2018
Resistance distance and Kirchhoff index of two corona graphs.
Ars Comb., 2018
Adjacency and Laplacian spectrum of a class of generalized corona.
Ars Comb., 2018
2017
Generalized characteristic polynomial of generalized R-vertex corona.
Ars Comb., 2017
Laplacian and signless Laplacian characteristic polynomial of generalized subdivision corona vertex graph.
Ars Comb., 2017
2016
Discret. Math. Algorithms Appl., 2016
Resistance Distance of Three Classes of Join Graphs.
Ars Comb., 2016
The generalized chaaracteristic polynomial of the subdivision-vertex and subdivision-edge coronae.
Ars Comb., 2016
2011
Proceedings of the 10th IEEE/ACIS International Conference on Computer and Information Science, 2011
2009
Appl. Math. Lett., 2009
Double Starlike Graphs with Largest and Second Largest Degree Difference 2 Determined by Their Laplacian Spectrum.
Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009