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Pengli Lu
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2020 – today
- 2024
- [j23]Pengli Lu, Wenqi Zhang, Jinkai Wu:
AMPCDA: Prediction of circRNA-disease associations by utilizing attention mechanisms on metapaths. Comput. Biol. Chem. 108: 107989 (2024) - [j22]Pengli Lu, Ling Li:
MGDHGS: Gene-bridged metabolite-disease relationships prediction via GraphSAGE and self-attention mechanism. Comput. Biol. Chem. 109: 108036 (2024) - [j21]Yuehao Wang, Pengli Lu:
GEHGAN: CircRNA-disease association prediction via graph embedding and heterogeneous graph attention network. Comput. Biol. Chem. 110: 108079 (2024) - [j20]Pengli Lu, Jicheng Jiang:
AE-RW: Predicting miRNA-disease associations by using autoencoder and random walk on miRNA-gene-disease heterogeneous network. Comput. Biol. Chem. 110: 108085 (2024) - [j19]Pengli Lu, Jialong Tian:
ACDMBI: A deep learning model based on community division and multi-source biological information fusion predicts essential proteins. Comput. Biol. Chem. 112: 108115 (2024) - [j18]Xu Cao, Pengli Lu:
DCSGMDA: A dual-channel convolutional model based on stacked deep learning collaborative gradient decomposition for predicting miRNA-disease associations. Comput. Biol. Chem. 113: 108201 (2024) - [j17]Pengli Lu, Junxia Yang, Wenzhi Liu:
Identification of key nodes in complex networks by using a joint technique of nonnegative matrix factorization and regularization. Phys. Commun. 65: 102384 (2024) - [j16]Pengli Lu, Yuehao Wang:
RDGAN: Prediction of circRNA-Disease Associations via Resistance Distance and Graph Attention Network. IEEE ACM Trans. Comput. Biol. Bioinform. 21(5): 1445-1457 (2024) - [j15]Wenzhi Liu, Pengli Lu, Teng Zhang:
Identifying Influential Nodes in Complex Networks From Semi-Local and Global Perspective. IEEE Trans. Comput. Soc. Syst. 11(2): 2105-2120 (2024) - 2023
- [j14]Pengli Lu, Rui Luan:
The generalized path matrix and energy. Discret. Math. Algorithms Appl. 15(2): 2250071:1-2250071:19 (2023) - [j13]Pengli Lu, Jinkai Wu, Wenqi Zhang:
HCGCCDA: Prediction of circRNA-disease associations based on the combination of hypergraph convolution and graph convolution. J. Comput. Sci. 74: 102176 (2023) - [j12]Pengli Lu, Jingjin Xue:
Combining transformer-based model and GCN to predict ICD codes from clinical records. Knowl. Based Syst. 282: 111113 (2023) - [c3]Jianxin Tang, Li Zhang, Pengli Lu, Jimao Lan:
Probing the influence maximization-cost minimization problem in social networks by using a multi-objective discrete differential evolution optimization. CNIOT 2023: 600-606 - 2021
- [i3]Pengli Lu, Chen Dong, Yuhong Guo:
A novel method based on node correlation to evaluate the important nodes in complex networks. CoRR abs/2102.10824 (2021) - 2020
- [j11]Pengli Lu, Jingjuan Yu:
Two New Methods for Identifying Essential Proteins Based on the Protein Complexes and Topological Properties. IEEE Access 8: 9578-9586 (2020) - [i2]Pengli Lu, Chen Dong:
Ranking the spreading influence of nodes in complex networks based on mixing degree centrality and local structure. CoRR abs/2003.03583 (2020) - [i1]Pengli Lu, Chen Dong:
EMH: Extended Mixing H-index centrality for identification important users in social networks based on neighborhood diversity. CoRR abs/2003.03585 (2020)
2010 – 2019
- 2018
- [j10]Pengli Lu, Liangyuan Xue:
Resistance distance and Kirchhoff index of two corona graphs. Ars Comb. 138: 323-331 (2018) - [j9]Pengli Lu, Ke Gao:
Adjacency and Laplacian spectrum of a class of generalized corona. Ars Comb. 140: 113-121 (2018) - [j8]Pengli Lu, Ke Gao, Yumo Wu:
Signless Laplacian spectrum of a class of generalized corona and its application. Discret. Math. Algorithms Appl. 10(5): 1850060:1-1850060:12 (2018) - 2017
- [j7]Pengli Lu, Yumo Wu:
Laplacian and signless Laplacian characteristic polynomial of generalized subdivision corona vertex graph. Ars Comb. 132: 357-369 (2017) - [j6]Pengli Lu, Yang Yang:
Generalized characteristic polynomial of generalized R-vertex corona. Ars Comb. 133: 367-376 (2017) - 2016
- [j5]Pengli Lu, Teng Zhang:
Resistance Distance of Three Classes of Join Graphs. Ars Comb. 129: 299-314 (2016) - [j4]Pengli Lu, Yufang Miao:
The generalized chaaracteristic polynomial of the subdivision-vertex and subdivision-edge coronae. Ars Comb. 129: 341-356 (2016) - [j3]Xiaogang Liu, Pengli Lu:
Laplacian spectral characterization of dumbbell graphs and theta graphs. Discret. Math. Algorithms Appl. 8(2): 1650028:1-1650028:10 (2016) - 2011
- [c2]Pengli Lu, ChunXu Jia:
Finding Relational Community through Two Nodes. ACIS-ICIS 2011: 356-359
2000 – 2009
- 2009
- [j2]Xiaogang Liu, Yuanping Zhang, Pengli Lu:
One special double starlike graph is determined by its Laplacian spectrum. Appl. Math. Lett. 22(4): 435-438 (2009) - [j1]Pengli Lu, Xiaogang Liu, Zhanting Yuan, Xuerong Yong:
Spectral characterizations of sandglass graphs. Appl. Math. Lett. 22(8): 1225-1230 (2009) - [c1]Pengli Lu, Zhanting Yuan:
Double Starlike Graphs with Largest and Second Largest Degree Difference 2 Determined by Their Laplacian Spectrum. CSIE (3) 2009: 26-29
Coauthor Index
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last updated on 2024-11-07 20:28 CET by the dblp team
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