Zero-Shot Learning via Contrastive Learning on Dual Knowledge Graphs https://ieeexplore.ieee.org/document/9607851 Zero-Shot Learning via Contrastive Learning on Dual Knowledge Graphs Graph Convolutional Networks (GCNs), which can integrate both explicit knowledge and implicit knowledge together, have shown effectively for zero-shot learning problems. Previous GCN-based methods generally leverage..
