論文導讀｜Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing
論文導讀｜Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing 編者按 1、背景知識 2、SQL生成語法 3、利用GNN對數據庫模式進行編碼 4、模型 5、實驗 References 作者：北京大學 常辰 編者按 在Text to SQL這一問題中，由於數據庫模式(Database Sche
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相關文章
- 1. Graph-based Dependency Parsing with Graph Neural Networks
- 2. 論文導讀｜《Exploiting Rich Syntactic Information for Semantic Parsing with Graph-to-Sequence Model》
- 3. 論文閱讀：Learning Human-Object Interactions by Graph Parsing Neural Networks
- 4. 論文閱讀：Neural Motifs: Scene Graph Parsing with Global Context
- 5. Structural Image Classification with Graph Neural Networks
- 6. Few-Shot Learning with Graph Neural Networks
- 7. 論文記錄：Neural Motifs: Scene Graph Parsing with Global Context (CVPR-18)
- 8. 【論文解讀】EffNet: AN EFFICIENT STRUCTURE FOR CONVOLUTIONAL NEURAL NETWORKS
- 9. 【論文閱讀筆記】Data-Driven Sparse Structure Selection for Deep Neural Networks
- 10. Modeling Semantics with Gated Graph Neural Networks for Knowledge Base Question Answering筆記