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VGAELDA
VGAELDA: a representation learning model based on variational inference and graph autoencoder for predicting lncRNA-disease associationsLR-GNN
HDMC
HDMC (Hierarchical Distribution Matching and Contrastive learning) is a novel deep learning based framework for batch effect removal in scRNA-seq data.APIN
Antimicrobial Peptide Identification Using Multi-scale Convolutional NetworkDAttProt
scMHNN
eCAMI
Simultaneous Classification and Motif Identification(eCAMI)MD-guide
ATTCry
ATTCry: Attention-based neural network model for protein crystallization predictionLPIGAC
Predicting lncRNA–protein interactions based on graph autoencoders and collaborative trainingTDAN
MGEGFP
A multi-view graph embedding method for gene function prediction based on adaptive estimation with GCNAVBAE-MODFR
The code and dataset for AVBAE-MODFRBERMAD
BiHo-GNN
Predicting lncRNA-protein interactions with bipartite graph embedding and deep graph neural networksLove Open Source and this site? Check out how you can help us