Implementing Link Prediction in Protein Networks via Feature Fusion Models Based on Graph Neural Networks
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Title
Implementing Link Prediction in Protein Networks via Feature Fusion Models Based on Graph Neural Networks
Authors
Keywords
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Journal
COMPUTATIONAL BIOLOGY AND CHEMISTRY
Volume -, Issue -, Pages 107980
Publisher
Elsevier BV
Online
2023-11-05
DOI
10.1016/j.compbiolchem.2023.107980
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- Hierarchical Attention Link Prediction Neural Network
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- (2021) Roya Aliakbarisani et al. IEEE Transactions on Network Science and Engineering
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- Graph embedding-based novel protein interaction prediction via higher-order graph convolutional network
- (2020) Ze Xiao et al. PLoS One
- SkipGNN: predicting molecular interactions with skip-graph networks
- (2020) Kexin Huang et al. Scientific Reports
- A Deep Learning Framework for Gene Ontology Annotations With Sequence- and Network-Based Information
- (2020) Fuhao Zhang et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- An Ensemble Approach to Link Prediction
- (2017) Liang Duan et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Link prediction in multi-relational networks based on relational similarity
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