论文导读｜Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing
论文导读｜Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing 编者按 1、背景知识 2、SQL生成语法 3、利用GNN对数据库模式进行编码 4、模型 5、实验 References 作者：北京大学 常辰 编者按 在Text to SQL这一问题中，由于数据库模式(Database Sche
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相关文章
- 1. Graph-based Dependency Parsing with Graph Neural Networks
- 2. 论文导读｜《Exploiting Rich Syntactic Information for Semantic Parsing with Graph-to-Sequence Model》
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- 4. 论文阅读：Neural Motifs: Scene Graph Parsing with Global Context
- 5. Structural Image Classification with Graph Neural Networks
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- 7. 论文记录：Neural Motifs: Scene Graph Parsing with Global Context (CVPR-18)
- 8. 【论文解读】EffNet: AN EFFICIENT STRUCTURE FOR CONVOLUTIONAL NEURAL NETWORKS
- 9. 【论文阅读笔记】Data-Driven Sparse Structure Selection for Deep Neural Networks
- 10. Modeling Semantics with Gated Graph Neural Networks for Knowledge Base Question Answering笔记