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Graph embedding on biomedical networks: methods, …

    https://academic.oup.com/bioinformatics/article/36/4/1241/5581350
    Various neural networks also have been introduced into graph embedding areas, such as multilayer perceptron (MLP) (Tang et al., 2015), autoencoder (Cao et al., 2016; Kipf and Welling, 2016; Wang et al., 2016), generative adversarial network (GAN) …

Graph embedding on biomedical networks: methods, …

    https://pubmed.ncbi.nlm.nih.gov/31584634/
    Results: We select 11 representative graph embedding methods and conduct a systematic comparison on 3 important biomedical link prediction tasks: drug-disease …

A Guide to Conquer the Biological Network Era …

    https://www.frontiersin.org/articles/10.3389/fbioe.2020.00034/full
    Moreover, biomedical graphs are of great importance for both researchers and clinicians (Yue et al., 2019). These are: Disease …

A Literature Review of Recent Graph Embedding …

    https://link.springer.com/chapter/10.1007/978-3-030-63823-8_3
    Furthermore, Graph Convolutional Network (GCN) introduces a well-behaved layer-wise propagation rule for the neural network model. Another important …

[1906.05017] Graph Embedding on Biomedical …

    https://arxiv.org/abs/1906.05017
    We select 11 representative graph embedding methods and conduct a systematic comparison on 3 important biomedical link prediction tasks: drug-disease …

Graph Embedding on Biomedical Networks: Methods, …

    https://www.researchgate.net/publication/336279199_Graph_Embedding_on_Biomedical_Networks_Methods_Applications_and_Evaluations
    On the other hand, for a variety of biomedical network analysis tasks, traditional techniques such as matrix factorization (which can be seen as a type of …

Let’s Talk about Graph Machine Learning in Biomedical …

    https://towardsdatascience.com/lets-talk-about-graph-machine-learning-in-biomedical-networks-8a84139e970b
    Many types of neural networks like multilayer perceptron (MLP), autoencoder, generative adversarial networks (GAN), and graph convolutional …

First International Workshop on Graph Techniques for …

    http://www.cs.utsa.edu/~jruan/bibm2009_GTBN/
    Visualization techniques for biomedical networks ; Biomedical ontologies, especially graphical analysis for them ; Gene network control (e.g. network perturbation, stability, …

Graph Embedding on Biomedical Networks: Methods, …

    https://deepai.org/publication/graph-embedding-on-biomedical-networks-methods-applications-and-evaluations
    On the other hand, for a variety of biomedical network analysis tasks, traditional techniques such as matrix factorization (which can be seen as one type of …

Graph Embedding on Biomedical Networks: Methods, …

    https://paperswithcode.com/paper/graph-embedding-on-biomedical-networks
    We select 11 representative graph embedding methods and conduct a systematic comparison on 3 important biomedical link prediction tasks: drug-disease …



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