Papers by Xiaoyu Kou
Disentangle-based Continual Graph Representation Learning (2020.emnlp-main)
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| Challenge: | Existing graph embedding methods overlook streaming nature of incoming data in real-world applications. |
| Approach: | They propose a disentangle-based continual graph representation learning framework inspired by the human’s ability to learn procedural knowledge. |
| Outcome: | The proposed framework outperforms state-of-the-art continual graph representation learning framework and alleviate catastrophic forgetting problem. |