Papers with residual learning method
Knowledge Graph Embedding with Atrous Convolution and Residual Learning (2020.coling-main)
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| Challenge: | Existing knowledge graph embedding methods are complex and require time for training and inference. |
| Approach: | They propose an atrous convolution based knowledge graph embedding method that increases feature interactions by using atrous . they evaluate method on six benchmark datasets with different evaluation metrics . |
| Outcome: | The proposed method achieves better results on six benchmark datasets than state-of-the-art methods on most evaluation metrics. |