Attention-Based Graph Convolutional Network for Zero-Shot Learning with Pre-Training

Figure 5

Part attention-based graph convolutional network of AGCNZ. The knowledge graph composed of word embedding vectors of each category is used as input through the propagation layer and then output to get the predicted classifier after passing through the attention layer.