【KDD 2019】A Representation Learning Framework for Property Graphs

时间 2020-12-31

标签论文研读繁體版

原文原文链接

论文链接：http://www.cse.cuhk.edu.hk/~jcheng/papers/pge_kdd19.pdf github链接：https://github.com/yifan-h/PGE 背景 1.图的应用非常广泛 Graphs are ubiquitous today due to the flexibility of using graphs to model data in

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1. PGE - A Representation Learning Framework for Property Graphs 属性图表示学习框架 KDD 2019
2. PGE - A Representation Learning Framework for Property Graphs 属性图中的表示学习框架 KDD 2019
3. Inductive Representation Learning on Large Graphs
4. 【论文解读 KDD 2019 | GATNE 】Representation Learning for Attributed Multiplex Heterogeneous Network
5. 【动态图表示综述】Representation Learning for Dynamic Graphs: A Survey
6. Paper Notes: Inductive Representation Learning on Large Graphs
7. GraphSAGE_Inductive Representation Learning on Large Graphs详细笔记
8. A Simple Framework for Contrastive Learning of Visual Representations
9. 【KDD 2019】Heterogeneous Graph Neural Network
10. Inductive Representation Learning On Large Graphs【阅读笔记】
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1. PGE - A Representation Learning Framework for Property Graphs 属性图表示学习框架 KDD 2019
2. PGE - A Representation Learning Framework for Property Graphs 属性图中的表示学习框架 KDD 2019
3. Inductive Representation Learning on Large Graphs
4. 【论文解读 KDD 2019 | GATNE 】Representation Learning for Attributed Multiplex Heterogeneous Network
5. 【动态图表示综述】Representation Learning for Dynamic Graphs: A Survey
6. Paper Notes: Inductive Representation Learning on Large Graphs
7. GraphSAGE_Inductive Representation Learning on Large Graphs详细笔记
8. A Simple Framework for Contrastive Learning of Visual Representations
9. 【KDD 2019】Heterogeneous Graph Neural Network
10. Inductive Representation Learning On Large Graphs【阅读笔记】

>>更多相关文章<<