Graph Modelling and Graph-Attention Neural Network for Immune Response Prediction

Author:

Rao Sakhamuri Mallikharjuna1,Henna Shagufta1,Creedon Leo2,Meehan Kevin1

Affiliation:

1. Atlantic Technical University,Department of Computing,Letterkenny,Ireland

2. Atlantic Technical University,Centre for Mathematical Modelling and Intelligent Systems for Health and Environment (MISHE),Sligo,Ireland

Publisher

IEEE

Reference22 articles.

1. Application of artificial neural networks to prediction of new substances with antimicrobial activity against Escherichia coli

2. Novel antimicrobial peptide discovery using machine learning and biophysical selection of minimal bacteriocin domains

3. Comprehensive review of graph convolutional neural networks: from graph signal processing to deep learning;li;IEEE Transactions on Neural Networks and Learning Systems,2021

4. Graph-based deep learning in biological networks: principles, applications and challenges;zhang;Journal of Molecular Cell Biology,2020

5. Unsupervised learning of graph representation via frequent subgraph mining;wang,0

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