Representation Learning for Attributed Multiplex Heterogeneous Network 論文閱讀筆記
摘要部分 網絡嵌入（圖嵌入）在真實世界中已經有了非常大規模的應用，然而現存的一些網絡嵌入（圖嵌入）相關的方法主要還是集中在同質網絡的應用場景下，即節點和邊的類型都是單一類型的情況下。但是真實世界網絡中每個節點的類型都多種，每條邊的類型也有多種，而且每一個節點都具有不同且繁多的屬性。所以本論文提出了一種在Attributed Multiplex Heterogeneous Network中進行嵌入學
相關文章
- 1. 【論文解讀 KDD 2019 | GATNE 】Representation Learning for Attributed Multiplex Heterogeneous Network
- 2. Machine Learning & Deep Learning 論文閱讀筆記
- 3. 論文閱讀筆記《Learning to Compare: Relation Network for Few-Shot Learning》
- 4. metapath2vec: Scalable Representation Learning for Heterogeneous Networks
- 5. 論文筆記-Attributed network embedding for learning in a dynamic environment
- 6. NRL: network representation learning & NE: network embedding. 相關論文總結
- 7. 論文閱讀筆記：Momentum Contrast for Unsupervised Visual Representation Learning
- 8. 《Learning Deep Representation for Face Alignment with Auxiliary Attributes》論文閱讀筆記
- 9. 論文閱讀筆記：Pretraining Methods for Dialog Context Representation Learning
- 10. 【論文閱讀】Learning Deconvolution Network for Semantic Segmentation
- 更多相關文章...
- • RSS 閱讀器 - RSS 教程
- • PHP 實例 - AJAX RSS 閱讀器 - PHP教程
- • Tomcat學習筆記（史上最全tomcat學習筆記）
- • JDK13 GA發佈：5大特性解讀
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。
歡迎關注本站公眾號,獲取更多信息
相關文章
- 1. 【論文解讀 KDD 2019 | GATNE 】Representation Learning for Attributed Multiplex Heterogeneous Network
- 2. Machine Learning & Deep Learning 論文閱讀筆記
- 3. 論文閱讀筆記《Learning to Compare: Relation Network for Few-Shot Learning》
- 4. metapath2vec: Scalable Representation Learning for Heterogeneous Networks
- 5. 論文筆記-Attributed network embedding for learning in a dynamic environment
- 6. NRL: network representation learning & NE: network embedding. 相關論文總結
- 7. 論文閱讀筆記：Momentum Contrast for Unsupervised Visual Representation Learning
- 8. 《Learning Deep Representation for Face Alignment with Auxiliary Attributes》論文閱讀筆記
- 9. 論文閱讀筆記：Pretraining Methods for Dialog Context Representation Learning
- 10. 【論文閱讀】Learning Deconvolution Network for Semantic Segmentation