GCNModelVAE: GCN Model Variational Auto-enccoder auto-encoding variational...

In ff98li/scRGNet: Perform scRNA-seq Analysis using Single-cell Graphical Neural Network (scGNN) Framework

Description

Create an GCN auto-encoder object.

Usage

GCNModelVAE(input_feat_dim, hidden_dim1, hidden_dim2, dropout)

Arguments

input_feat_dim	dimension of input feature matrix
hidden_dim1	dimension of matrix in the first hidden layer
hidden_dim2	dimension of matrix in the second hidden layer
dropout	dropout

Details

Auto-encoder for GCN using

#' @references \insertRefGCNscRGNet

Value

A new GCNModelAE object.

Fields

gc1

the first GCN layer

gc2

the second GCN layer

gc3

the third GCN layer

dc

Decoder using inner product for prediction

ff98li/scRGNet documentation built on Jan. 14, 2022, 4:58 a.m.