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) 模型融合多种输入特征，解决预测一天后预测给定站点，给定污染物种类（PM2.5）的污染程度的问题。 难点：时空数据都存在，面临异构数据融合的问题；需要进行较长时间（一天）的预测。针对这些难点，本文提出了一个多组数据的Encoder-Decoder模型，主要贡献有三点。 将空间网格的天气数据（包括历
相关文章
- 1. metapath2vec: Scalable Representation Learning for Heterogeneous Networks
- 2. 论文阅读：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
- 更多相关文章...
- • Scala for循环 - Scala教程
- • Swift for 循环 - Swift 教程
- • 算法总结-深度优先算法
- • JDK13 GA发布：5大特性解读
相关标签/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
欢迎关注本站公众号,获取更多信息
相关文章
- 1. metapath2vec: Scalable Representation Learning for Heterogeneous Networks
- 2. 论文阅读：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