Connection between RNN and Encoder-Decoder: Sequential Processing ... model is a type of neural network architecture designed to handle input and output sequences of varying lengths. This architecture ...

The 1D-LSNet network we designed is trained and predicted on only ... the network usually connects a decoder after the encoder, for which we designed a novel AP-FA, as shown in Figure 2A. The decoder ...

To address these issues, we propose a novel saliency detection method based on Encoder-Decoder Residual network (EDRNet ... Finally, we design the residual refinement structure with 1D filters (RRS_1D ...

In this communication, we describe Pocket2Drug, a deep graph neural network model to predict binding molecules ... Pocket2Drug has a similar encoder-decoder architecture consisting of an encoder to ...

To address these issues, we propose a novel saliency detection method based on Encoder-Decoder Residual network (EDRNet ... Finally, we design the residual refinement structure with 1D filters (RRS_1D ...