19IJCAI Multi-Group Encoder-Decoder Networks to Fuse Heterogeneous Data for Next-Day Air Quality Pre
本文提出multi-group Encoder-Decoder networks (MGED-Net) 模型融合多種輸入特徵，解決預測一天後預測給定站點，給定污染物種類（PM2.5）的污染程度的問題。 難點：時空數據都存在，面臨異構數據融合的問題；需要進行較長時間（一天）的預測。針對這些難點，本文提出了一個多組數據的Encoder-Decoder模型，主要貢獻有三點。 將空間網格的天氣數據（包括歷
相關文章
- 1. metapath2vec: Scalable Representation Learning for Heterogeneous Networks
- 2. 論文閱讀：Text-to-Text Pre-Training for Data-to-Text Tasks
- 3. 19KDD AccuAir Winning Solution to Air Quality Prediction for KDD Cup 2018
- 4. STRATEGIES FOR PRE-TRAINING GRAPH NEURAL NETWORKS
- 5. Strategies For Pre-Training Graph Neural Networks
- 6. Nextday
- 7. Heterogeneous Graph Neural Networks for Extractive Document Summarization
- 8. ACL2020 Heterogeneous Graph Neural Networks for Extractive Document Summarization
- 9. Two-Stream Convolutional Networks for Blind Image Quality Assessment
- 10. Pre-Training Graph Neural Networks for Generic Structural Feature Extraction
- 更多相關文章...
- • Scala for循環 - Scala教程
- • Swift for 循環 - Swift 教程
- • 算法總結-深度優先算法
- • 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。
最新文章
- 1. 跳槽面試的幾個實用小技巧，不妨看看！
- 2. Mac實用技巧 |如何使用Mac系統中自帶的預覽工具將圖片變成黑白色?
- 3. Mac實用技巧 |如何使用Mac系統中自帶的預覽工具將圖片變成黑白色?
- 4. 如何使用Mac系統中自帶的預覽工具將圖片變成黑白色?
- 5. Mac OS非兼容Windows軟件運行解決方案——「以VMware & Microsoft Access爲例「
- 6. 封裝 pyinstaller -F -i b.ico excel.py
- 7. 數據庫作業三ER圖待完善
- 8. nvm安裝使用低版本node.js(非命令安裝)
- 9. 如何快速轉換圖片格式
- 10. 將表格內容分條轉換爲若干文檔
歡迎關注本站公眾號,獲取更多信息
相關文章
- 1. metapath2vec: Scalable Representation Learning for Heterogeneous Networks
- 2. 論文閱讀：Text-to-Text Pre-Training for Data-to-Text Tasks
- 3. 19KDD AccuAir Winning Solution to Air Quality Prediction for KDD Cup 2018
- 4. STRATEGIES FOR PRE-TRAINING GRAPH NEURAL NETWORKS
- 5. Strategies For Pre-Training Graph Neural Networks
- 6. Nextday
- 7. Heterogeneous Graph Neural Networks for Extractive Document Summarization
- 8. ACL2020 Heterogeneous Graph Neural Networks for Extractive Document Summarization
- 9. Two-Stream Convolutional Networks for Blind Image Quality Assessment
- 10. Pre-Training Graph Neural Networks for Generic Structural Feature Extraction