Few-shot Learning with Graph Neural Networks
Paper : FEW-SHOT LEARNING WITH GRAPH NEURAL NETWORKS Code : official 摘要 作者使用GNN建模少樣本學習任務中的消息傳遞過程，將每個樣本看作是圖中的節點，少樣本學習轉化爲圖中給出部分節點的標籤以後進行訓練的點分類任務。作者提出的GNN建模方法還可以擴展到半監督學習或主動學習的任務上。 問題設定 首先給出少樣本學習，主動學習和半監督
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相關文章
- 1. Few-Shot Learning with Graph Neural Networks
- 2. FEW-SHOT LEARNING WITH GRAPH NEURAL NETWORKS翻譯
- 3. GRAPH2SEQ: GRAPH TO SEQUENCE LEARNING WITH ATTENTION-BASED NEURAL NETWORKS
- 4. Few-Shot Learning with Graph Neural Networks筆記
- 5. 筆記《Graph Neural Tangent Kernel: Fusing Graph Neural Networks with Graph Kernels》-NeurIPS 2019
- 6. Overlapping Community Detection with Graph Neural Networks
- 7. Structural Image Classification with Graph Neural Networks
- 8. IMAGE DENOISING WITH GRAPH-CONVOLUTIONAL NEURAL NETWORKS
- 9. FEW-SHOT LEARNING WITH GRAPH NEURAL NETWORK
- 10. Graph-based Dependency Parsing with Graph Neural Networks