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04d9e8221b
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4 years ago | |
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| .. | ||
| .idea | 4 years ago | |
| __pycache__ | 4 years ago | |
| data | 4 years ago | |
| log | 4 years ago | |
| modelfile/ckpt | 4 years ago | |
| result | 4 years ago | |
| config_file | 4 years ago | |
| conlleval | 4 years ago | |
| conlleval.py | 4 years ago | |
| data_loader.py | 4 years ago | |
| data_utils.py | 4 years ago | |
| main.py | 4 years ago | |
| maps.pkl | 4 years ago | |
| model.py | 4 years ago | |
| model_utils.py | 4 years ago | |
通过对新冠疫情相关信息收集，进行分类、归纳，取得事件之间的联系，可以构成一个丰富的新冠信息知识图谱。新冠信息知识图谱的构建能够充分挖掘信息价值，为人们提供直观的参考依据。本项目基于NEO4J图数据库，来进行COVID-19病例活动行径信息的知识图谱构建与应用，达到追溯传播途径、疫情防控的目的·。
Unity3D Asset Text Python C# Pickle other
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