FEW-SHOT LEARNING WITH GRAPH NEURAL NETWORK
FEW-SHOT LEARNING WITH GRAPH NEURAL NETWORK使用图神经网络的小样本学习 代码：github.com/vgsatorras/few-shot-gnn 摘要：我们提出研究一种基于部分观察图形模型的三棱镜推理的小样本学习问题，建立一组图片（标记或者不标记），通过同化消息传递推理算法使用深度学习框架，定义了可以泛化的小样本学习图神经网络框架，我们的框架很容易移
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相关文章
- 1. Few-shot Learning with Graph Neural Networks
- 2. Few-Shot Learning with Graph Neural Networks
- 3. FEW-SHOT LEARNING WITH GRAPH NEURAL NETWORKS翻译
- 4. GRAPH2SEQ: GRAPH TO SEQUENCE LEARNING WITH ATTENTION-BASED NEURAL NETWORKS
- 5. Few-Shot Learning with Graph Neural Networks笔记
- 6. 笔记《Graph Neural Tangent Kernel: Fusing Graph Neural Networks with Graph Kernels》-NeurIPS 2019
- 7. Learning from the Past: Continaul Meta-Learning with Bayesian Graph Neural network review
- 8. Graph-based Dependency Parsing with Graph Neural Networks
- 9. Overlapping Community Detection with Graph Neural Networks
- 10. Structural Image Classification with Graph Neural Networks