Before revision:  Finally, we find that ZSL-KG outperforms the best performing  graph neural networks with linear aggregators by an average of 3.8 points of accuracy across these four datasets .
After revision:  Finally, we find that ZSL-KG outperforms the best performing graph-based zero-shot learning framework by an average of 2.1 accuracy points with improvements as high as 3.4 accuracy points. Our ablation study on ZSL-KG with alternate graph neural networks with linear aggregators by an average of 3.8 points of accuracy across these four datasets .