Knowledge-Graph

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Knowledge-Graph

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All materials related to Knowlegde Graph

Knowledge-Graph 최신버젼 다운로드

최종 버전 다운로드 (.zip)

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# Knowledge-Graph
All materials related to Knowlegde Graph

## 知识图谱库
* FreeBase
* Knowledge Vault(Google知识图谱)
* DBpedia
* Wikidata
* Wolfram Alpha
* Bing Satori
* YAGO
* Facebook Social graph
* 百度知识图谱
* 搜狗知立方
* ImageNet

## 学习资源
* 视频资源
  * [Google知识图谱系列教程](https://www.youtube.com/watch?v=mmQl6VGvX-c&list=PLOU2XLYxmsII2vIhzAyW6eouf62ur2Z2q)
* [北京知识图谱学习小组](https://github.com/memect/kg-beijing)

## 核心技术
* 知识抽取
  * 实体抽取
  * 关系抽取
  * 属性抽取
* 知识表示
  * 距离模型
  * 单层神经网络模型
  * 双线性模型
  * 神经张量模型
  * 矩阵分解模型
  * 翻译模型
    * [TransE](https://github.com/thunlp/TensorFlow-TransX)
    * [TransH](https://github.com/thunlp/TensorFlow-TransX)
    * [TransR](https://github.com/thunlp/TensorFlow-TransX)
    * [TransD](https://github.com/thunlp/TensorFlow-TransX)
    * [TranSparse](https://github.com/FrankWork/transparse)
    * [TransA](https://github.com/wpj2018/KGModel)
    * [TransG](https://github.com/Niubohan/TransG)
    * [KG2E](https://github.com/wuqixiaobai/KG2E)
    * [PTransE](https://github.com/mxl456/pTransE)
* 知识融合
  * 实体对齐
  * 知识加工
    * 本体构建
* 知识推理
  * 基于逻辑的推理
  * 基于图的推理

## Applications
* 智能搜索
* 知识图谱补全
* 深度问答
  * Jacana-Freebase
  * Paralex
* 社交网络
* 语义分析
  * SEMPRE
  
* [医药领域知识图谱](https://github.com/liuhuanyong/QASystemOnMedicalKG)
* [事理图谱](https://github.com/liuhuanyong/ComplexEventExtraction)
* [罪名知识图谱](https://github.com/liuhuanyong/CrimeKgAssitant)
* [中文人物关系知识图谱](https://github.com/liuhuanyong/PersonRelationKnowledgeGraph)
* [军事知识图谱](https://github.com/liuhuanyong/QAonMilitaryKG)
* [京东知识图谱](https://github.com/liuhuanyong/ProductKnowledgeGraph)

## Open-source implements
* [ComplEx](https://github.com/ttrouill/complex "ComplEx")
* [EbemKG ](https://github.com/pminervini/ebemkg "EbemKG")
* [HolE](https://github.com/mnick/holographic-embeddings "HolE")
* [Inferbeddings](https://github.com/uclmr/inferbeddings "Inferbeddings")
* [KGE-LDA](https://github.com/yao8839836/KGE-LDA "KGE-LDA")
* [KR-EAR](https://github.com/thunlp/KR-EAR "KR-EAR")
* [mFold](https://github.com/v-shinc/mFoldEmbedding "mFold")
* [ProjE](https://github.com/bxshi/ProjE "ProjE")
* [RDF2Vec](http://data.dws.informatik.uni-mannheim.de/rdf2vec/code/ "RDF2Vec")
* [Resource2Vec](https://github.com/AKSW/Resource2Vec/tree/master/resource2vec-core "Resource2Vec")
* [TransE](https://github.com/ZichaoHuang/TransE "TransE")
* [wiki2vec](https://github.com/idio/wiki2vec "wiki2vec")
* [pykg2vec](https://github.com/Sujit-O/pykg2vec)

## Domain experts
* Antoine Bordes
* Estevam Rafael Hruschka Junior(Federal University of Sao Carlos)
* 鲍捷（Memect） 
* 陈华钧 浙江大学
* 刘知远 清华大学
* 秦兵 哈尔滨工业大学
* 赵军 中科院自动化所
* 王昊奋 狗尾草智能科技公司 
* 漆桂林 东南大学
* 刘  康 中科院自动化所
* 韩先培 中国科学院软件研究所 
* 肖仰华 复旦大学

## Related List
* [OpenKE](https://github.com/thunlp/OpenKE)
* [KRLPapers](https://github.com/thunlp/KRLPapers)
* [awesome knowledge graph](https://github.com/shaoxiongji/awesome-knowledge-graph)
* [Deep learning for Knowledge-Graph](https://github.com/lihanghang/Knowledge-Graph)

## Library And Implementary
* [Python library for Representation Learning on Knowledge Graphs](https://github.com/Accenture/AmpliGraph)
* [Several knowledge graph representation algorithms implemented with pytorch](https://github.com/jimmywangheng/knowledge_representation_pytorch)

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