MANE: Organizational Network Embedding with Multiplex Attentive Neural Networks

2022 ◽  
pp. 1-1
Author(s):  
Yuyang Ye ◽  
Zheng Dong ◽  
Hengshu Zhu ◽  
Tong Xu ◽  
Xin Song ◽  
...  
Keyword(s):  
Neural Networks ◽  
Network Embedding ◽  
Organizational Network

scholarly journals Using deep maxout neural networks to improve the accuracy of function prediction from protein interaction networks

2018 ◽  
Author(s):  
Cen Wan ◽  
Domenico Cozzetto ◽  
Rui Fa ◽  
David T. Jones
Keyword(s):  
Neural Networks ◽  
Protein Interaction ◽  
Protein Interactions ◽  
Protein Function ◽  
Large Scale ◽  
Protein Function Prediction ◽  
Function Prediction ◽  
Network Embedding ◽  
Protein Protein Interactions ◽  
Functional Representations

Protein-protein interaction network data provides valuable information that infers direct links between genes and their biological roles. This information brings a fundamental hypothesis for protein function prediction that interacting proteins tend to have similar functions. With the help of recently-developed network embedding feature generation methods and deep maxout neural networks, it is possible to extract functional representations that encode direct links between protein-protein interactions information and protein function. Our novel method, STRING2GO, successfully adopts deep maxout neural networks to learn functional representations simultaneously encoding both protein-protein interactions and functional predictive information. The experimental results show that STRING2GO outperforms other network embedding-based prediction methods and one benchmark method adopted in a recent large scale protein function prediction competition.

Deep heterogeneous network embedding based on Siamese Neural Networks

2020 ◽  
Vol 388 ◽  
pp. 1-11
Author(s):  
Chen Zhang ◽  
Zhouhua Tang ◽  
Bin Yu ◽  
Yu Xie ◽  
Ke Pan
Keyword(s):  
Neural Networks ◽  
Heterogeneous Network ◽  
Network Embedding

scholarly journals An Out-of-the-box Full-Network Embedding for Convolutional Neural Networks

2018 ◽  
Author(s):  
Dario Garcia-Gasulla ◽  
Armand Vilalta ◽  
Ferran Pares ◽  
Eduard Ayguade ◽  
Jesus Labarta ◽  
...  
Keyword(s):  
Neural Networks ◽  
Convolutional Neural Networks ◽  
Network Embedding ◽  
Full Network
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