HGANMDA: Hierarchical Graph Attention Network (Molecular Therapy) for miRNA and Disease Association Prediction - Code World

HGANMDA: Hierarchical Graph Attention Network (Molecular Therapy) for miRNA and Disease Association Prediction

Enterprise 2023-12-17 09:20:27 views: null

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HGANMDA: Hierarchical Graph Attention Network (Molecular Therapy) for miRNA and Disease Association Prediction

MKGAT: miRNA-disease association prediction based on graph attention network and double Laplacian regularized least squares (Briefings in Bioinformatics)

MMGCN: Application of multi-view multi-channel attention map convolutional network in prediction of association between miRNA and disease (Briefings in Bioinformatics)

SGAEMDA: miRNA-disease association prediction (cells) based on stacked graph autoencoders

VGAMF: miRNA-disease association prediction based on multi-view variational graph autoencoders and matrix factorization (IEEE Journal of Biomedical and Health Informatics)

GMDA: Combining pairwise neighborhood topology and miRNA family and clustering attributes for miRNA-disease association prediction (Briefings in Bioinformatics)

MDA-CNN: Learning-based neural network miRNA-disease association identification framework (Bioinformatics)

[Python Quantification] Mining graph relationships in stock prices: Stock price prediction model based on graph attention network

ERMDA: An ensemble learning framework based on resampling to predict the association between miRNA and disease (Briefings in Bioinformatics)

SAEMDA: Prediction of potential miRNA-disease correlations based on stacked autoencoders (Briefings in Bioinformatics)

Graph attention network GAT

[GNN] Graph Attention Network

Graph Attention Network (GAT)

ST-MGAT: Spatio-temporal multi-head graph attention network for traffic prediction

Attention-based traffic flow prediction with spatio-temporal graph convolutional network

DAEMKL: Multi-kernel learning-based deep autoencoder predicts miRNA-disease association (IEEE Transactions on Neural Networks and Learning Systems)

Read the paper: "Hierarchical Attention Network for Document Classification" - Hierarchical attention network for text classification

rdkit&gnn | Graph Neural Network Molecular Construction Graph Representation Source Code (ongoing)

Graph Attention Network的本质是什么？

Heterogeneous Graph Attention Network阅读笔记

GMDA: Combining pairwise neighborhood topology and miRNA family and clustering attributes for miRNA-disease association prediction (Briefings in Bioinformatics)

GMDA: Combining pairwise neighborhood topology and miRNA family and clustering attributes for miRNA-disease association prediction (Briefings in Bioinformatics)

GMDA: Combining pairwise neighborhood topology and miRNA family and clustering attributes for miRNA-disease association prediction (Briefings in Bioinformatics)

Item recommendation of knowledge graph based on contextual graph attention network

[Complex Network Modeling] - Building a Graph Attention Network Model Based on Pytorch

Spatio-temporal prediction based on graph neural network

[Complex Network Modeling]——Link prediction based on Graph Convolutional Networks (GCN)

KGAT: Knowledge Graph Attention Network for Recommendation paper address

"Thesis Reading" Dialogue Relationship Extraction (Graph Attention Network)

Detailed explanation of graph attention network paper and PyTorch implementation

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