Learning from the Past: Continaul Meta-Learning with Bayesian Graph Neural network review
1. 提出问题 现有的基于图网络做meta-learning的方法会有Catastrophic forgetting 和 insufficient robustness的问题， 导致不嗯呢个保持long-term的knowledge，并会造成严重的错误积累。 Catastraphic forgetting insufficient robustness 2. 提出解决方案 针对Catastraph
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相关文章
- 1. Review on The Graph Neural Network Model
- 2. Graph Neural Network Review
- 3. FEW-SHOT LEARNING WITH GRAPH NEURAL NETWORK
- 4. Few-Shot Learning with Graph Neural Networks
- 5. Learning about Graph Network
- 6. 3 The Bayesian Network Representation
- 7. Few-shot Learning with Graph Neural Networks
- 8. 《The graph neural network model》笔记
- 9. Fast deep reinforcement learning using online adjustments from the past
- 10. 【KDD 2019】Heterogeneous Graph Neural Network