【KDD 2019】A Representation Learning Framework for Property Graphs

時間 2020-12-31

標籤論文研讀简体版

原文原文鏈接

論文鏈接：http://www.cse.cuhk.edu.hk/~jcheng/papers/pge_kdd19.pdf github鏈接：https://github.com/yifan-h/PGE 背景 1.圖的應用非常廣泛 Graphs are ubiquitous today due to the flexibility of using graphs to model data in

>>阅读原文<<

1. PGE - A Representation Learning Framework for Property Graphs 屬性圖表示學習框架 KDD 2019
2. PGE - A Representation Learning Framework for Property Graphs 屬性圖中的表示學習框架 KDD 2019
3. Inductive Representation Learning on Large Graphs
4. 【論文解讀 KDD 2019 | GATNE 】Representation Learning for Attributed Multiplex Heterogeneous Network
5. 【動態圖表示綜述】Representation Learning for Dynamic Graphs: A Survey
6. Paper Notes: Inductive Representation Learning on Large Graphs
7. GraphSAGE_Inductive Representation Learning on Large Graphs詳細筆記
8. A Simple Framework for Contrastive Learning of Visual Representations
9. 【KDD 2019】Heterogeneous Graph Neural Network
10. Inductive Representation Learning On Large Graphs【閱讀筆記】
更多相關文章...
• Scala for循環 - Scala教程
• Lua for 循環 - Lua 教程
• Java Agent入門實戰（三）-JVM Attach原理與使用
• Java Agent入門實戰（一）-Instrumentation介紹與使用

相關標籤/搜索

每日一句

每一个你不满意的现在，都有一个你没有努力的曾经。

最新文章

1. 外部其他進程嵌入到qt FindWindow獲得窗口句柄報錯無法鏈接的外部符號 [email protected] 無法被([email protected]@[email protected]@@引用
2. UVa 11524 - InCircle
3. The Monocycle（bfs）
4. VEC-C滑窗
5. 堆排序的應用-TOPK問題
6. 實例演示ElasticSearch索引查詢term,match,match_phase,query_string之間的區別
7. 數學基礎知識集合
8. amazeUI 復擇框問題解決
9. 揹包問題理解
10. 算數平均-幾何平均不等式的證明,從麥克勞林到柯西

本站公眾號

歡迎關注本站公眾號,獲取更多信息

1. PGE - A Representation Learning Framework for Property Graphs 屬性圖表示學習框架 KDD 2019
2. PGE - A Representation Learning Framework for Property Graphs 屬性圖中的表示學習框架 KDD 2019
3. Inductive Representation Learning on Large Graphs
4. 【論文解讀 KDD 2019 | GATNE 】Representation Learning for Attributed Multiplex Heterogeneous Network
5. 【動態圖表示綜述】Representation Learning for Dynamic Graphs: A Survey
6. Paper Notes: Inductive Representation Learning on Large Graphs
7. GraphSAGE_Inductive Representation Learning on Large Graphs詳細筆記
8. A Simple Framework for Contrastive Learning of Visual Representations
9. 【KDD 2019】Heterogeneous Graph Neural Network
10. Inductive Representation Learning On Large Graphs【閱讀筆記】

>>更多相關文章<<