JavaShuo
欄目
標籤
Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems
時間 2020-12-30
標籤
論文
人工智能
深度學習
简体版
原文
原文鏈接
Label Smoothness Regularization 因爲與傳統的GNN不同,邊的權重是可以學習的,而且在錢箱傳播的過程中,還有w的參數需要學習。爲了防止過擬合,而且由於邊的權重的重要性,因此需要剛過的約束。作者在這裏使用了Label Smoothness Regularization。具體的公示內容沒有看懂。爲了這個正則化和可學習的gnn網絡,作者提出了一個獨特的損失函數。 直觀理
>>阅读原文<<
相關文章
1.
Knowledge Graph Convolutional Networks for Recommender Systems with Label Smoothness Regularization
2.
Graph Convolutional Neural Networks for Web-Scale Recommender Systems
3.
Knowledge Graph Convolutional Networks for Recommender Systems
4.
閱讀總結:《Graph Convolutional Neural Networks for Web-Scale Recommender Systems》
5.
Graph Convolutional Neural Networks for Web-Scale Recommender Systems閱讀筆記
6.
Graph Neural Networks for Social Recommendation
7.
Side Information-Knowledge Graph Convolutional Networks for Recommender Systems閱讀筆記
8.
Few-Shot Learning with Graph Neural Networks
9.
IMAGE DENOISING WITH GRAPH-CONVOLUTIONAL NEURAL NETWORKS
10.
Paper Notes: Graph Convolutional Neural Networks for Web-Scale Recommender Systemste
更多相關文章...
•
ASP.NET Label 控件
-
ASP.NET 教程
•
Swift for 循環
-
Swift 教程
•
爲了進字節跳動,我精選了29道Java經典算法題,帶詳細講解
•
算法總結-股票買賣
相關標籤/搜索
networks
graph
recommender
systems
regularization
neural
label
2.label
with+this
with...connect
0
分享到微博
分享到微信
分享到QQ
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.
gitlab新建分支後,android studio拿不到
2.
Android Wi-Fi 連接/斷開時間
3.
今日頭條面試題+答案,花點時間看看!
4.
小程序時間組件的開發
5.
小程序學習系列一
6.
[微信小程序] 微信小程序學習(一)——起步
7.
硬件
8.
C3盒模型以及他出現的必要性和圓角邊框/前端三
9.
DELL戴爾筆記本關閉觸摸板觸控板WIN10
10.
Java的long和double類型的賦值操作爲什麼不是原子性的?
本站公眾號
歡迎關注本站公眾號,獲取更多信息
相關文章
1.
Knowledge Graph Convolutional Networks for Recommender Systems with Label Smoothness Regularization
2.
Graph Convolutional Neural Networks for Web-Scale Recommender Systems
3.
Knowledge Graph Convolutional Networks for Recommender Systems
4.
閱讀總結:《Graph Convolutional Neural Networks for Web-Scale Recommender Systems》
5.
Graph Convolutional Neural Networks for Web-Scale Recommender Systems閱讀筆記
6.
Graph Neural Networks for Social Recommendation
7.
Side Information-Knowledge Graph Convolutional Networks for Recommender Systems閱讀筆記
8.
Few-Shot Learning with Graph Neural Networks
9.
IMAGE DENOISING WITH GRAPH-CONVOLUTIONAL NEURAL NETWORKS
10.
Paper Notes: Graph Convolutional Neural Networks for Web-Scale Recommender Systemste
>>更多相關文章<<