論文淺嘗 | GMNN: Graph Markov Neural Networks
論文筆記整理：吳銳，東南大學碩士研究生，研究方向爲自然語言處理 來源：ICML 2019 鏈接：http://proceedings.mlr.press/v97/qu19a/qu19a.pdf 問題定義 弱監督下的在關係數據中的對象分類。形式化地來說，給定一個圖G，圖上有結點V表示一系列對象，在對象間存在有一系列邊E，且每個結點都有對應的屬性XV。當前已知部分結點L的標籤，目的
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相關文章
- 1. GMNN: Graph Markov Neural Networks
- 2. 論文淺嘗 | GEOM-GCN: Geometric Graph Convolutional Networks
- 3. CS224W-08-Graph Neural Networks
- 4. Applications of Graph Neural Networks
- 5. 論文淺嘗 | Open world Knowledge Graph Completion
- 6. 論文淺嘗 | Improved Neural Relation Detection for KBQA
- 7. 論文淺嘗 | CFO: Conditional Focused Neural Question Answering
- 8. Adaptive Graph Convolutional Neural Networks
- 9. Towards Deeper Graph Neural Networks
- 10. 筆記《Graph Neural Tangent Kernel: Fusing Graph Neural Networks with Graph Kernels》-NeurIPS 2019