【知识图谱系列】知识图谱表明学习综述

本文分享一篇知识图谱表明学习汇报ppt，将知识图谱表明学习方法粗略分为四大类，涉及将近30篇优秀论文，只简单介绍其核心思想，完整汇报ppt获取请关注公众号【AI机器学习与知识图谱】回复关键字：知识图谱表明学习
1、翻译距离模型：包括TransH、TransR、TransD、TranSparse、TransM、MianfoldE、TransF、TransA、KG2E、TransG、UM、SE模型等；2、语义匹配模型：包括RESCAL、DistMult、HoLE、ComplEx、ANALOGY、SNE、NTN、MLP、NAM模型等；3、随机游走模型：包括DeepWalk、LINE、node2vec模型等；4、子图汇聚模型：包括GCN、GAT、GraphSage模型等。
Motivation
知识图谱是由实体（节点）和关系（不同类型的边）组成的多关系图，每条边连接头尾两个实体，一般用SPO三元组进行表明（subject,predicate, object），被称为一个实际。虽然知识图谱在表明结构化数据方面很有效，但这类三元组的潜在符号特性一般使得KGs很难操作。
因此知识图谱表明学习便成为了一个热门的研究方向，知识图谱嵌入的关键思想是将图谱中的实体entity和关系relation转化为连续的向量，在保留KG原有结构的同时使得操作方便。于是便可将entityembedding和relationembedding用到下游各种任务中，例如图谱补全，关系抽取，实体分类，实体链接及实体融合等
知识图谱嵌入技术经典三个步骤：1、representingentities and relations2、defininga scoring function3、learningentity and relation representations（最大化所有观测实际的置信度plausibility）根据scoringfunction区别分为distance-based scoring functions和similarity-based scoring functions
Papers
<div class=”image-package”><img src=”https://upload-images.jianshu.io/upload_images/26011021-7705c15ad6925e9a.jpeg” img-data=”{“format”:”jpeg”,”size”:99231,”height”:600,”width”:1080}” class=”uploaded-img” style=”min-height:200px;min-width:200px;” width=”auto” height=”auto”/>
</div>
<div class=”image-package”><img src=”https://upload-images.jianshu.io/upload_images/26011021-5e1bedab6303c7c7.jpeg” img-data=”{“format”:”jpeg”,”size”:40440,”height”:585,”width”:1080}” class=”uploaded-img” style=”min-height:200px;min-width:200px;” width=”auto” height=”auto”/>
</div><div class=”image-package”><img src=”https://upload-images.jianshu.io/upload_images/26011021-88995591f0a469d6.jpeg” img-data=”{“format”:”jpeg”,”size”:95862,”height”:579,”width”:1080}” class=”uploaded-img” style=”min-height:200px;min-width:200px;” width=”auto” height=”auto”/>
</div>
<div class=”image-package”><img src=”https://upload-images.jianshu.io/upload_images/26011021-89aa2cd4b9ac6794.jpeg” img-data=”{“format”:”jpeg”,”size”:44012,”height”:523,”width”:1080}” class=”uploaded-img” style=”min-height:200px;min-width:200px;” width=”auto” height=”auto”/>
</div>
<div class=”image-package”><img src=”https://upload-images.jianshu.io/upload_images/26011021-ef1052927f117779.jpeg” alt=”【知识图谱系列】知识图谱表明学习综述 | 近30篇优秀论文”></div>
<div class=”image-package”><img src=”https://upload-images.jianshu.io/upload_images/26011021-d73958dc3d41d0be.jpeg” img-data=”{“format”:”jpeg”,”size”:86715,”height”:641,”width”:1080}” class=”uploaded-img” style=”min-height:200px;min-width:200px;” width=”auto” height=”auto”/>
</div>
<div class=”image-package”><img src=”https://upload-images.jianshu.io/upload_images/26011021-43548c26a7e66bb6.jpeg” img-data=”{“format”:”jpeg”,”size”:81019,”height”:596,”width”:1080}” class=”uploaded-img” style=”min-height:200px;min-width:200px;” width=”auto” height=”auto”/>
</div>
<div class=”image-package”><img src=”https://upload-images.jianshu.io/upload_images/26011021-6ebeb7f7c7c8c8e5.jpeg” img-data=”{“format”:”jpeg”,”size”:52391,”height”:548,”width”:1080}” class=”uploaded-img” style=”min-height:200px;min-width:200px;” width=”auto” height=”auto”/>
</div>
<div class=”image-package”><img src=”https://upload-images.jianshu.io/upload_images/26011021-b334e44e5acf7d00.jpeg” img-data=”{“format”:”jpeg”,”size”:87769,”height”:586,”width”:1080}” class=”uploaded-img” style=”min-height:200px;min-width:200px;” width=”auto” height=”auto”/>
</div>
<div class=”image-package”><img src=”https://upload-images.jianshu.io/upload_images/26011021-2b800a1507cdc8a4.jpeg” img-data=”{“format”:”jpeg”,”size”:104003,”height”:579,”width”:1080}” class=”uploaded-img” style=”min-height:200px;min-width:200px;” width=”auto” height=”auto”/>
</div>
<div class=”image-package”><img src=”https://upload-images.jianshu.io/upload_images/26011021-9efe7e43893b7495.jpeg” img-data=”{“format”:”jpeg”,”size”:57531,”height”:544,”width”:1080}” class=”uploaded-img” style=”min-height:200px;min-width:200px;” width=”auto” height=”auto”/>
</div>
<div class=”image-package”><img src=”https://upload-images.jianshu.io/upload_images/26011021-5d9cc168cdb1a1eb.jpeg” img-data=”{“format”:”jpeg”,”size”:84030,”height”:610,”width”:1080}” class=”uploaded-img” style=”min-height:200px;min-width:200px;” width=”auto” height=”auto”/>
</div>
<div class=”image-package”><img src=”https://upload-images.jianshu.io/upload_images/26011021-c165455e981c0b15.jpeg” img-data=”{“format”:”jpeg”,”size”:91587,”height”:606,”width”:1080}” class=”uploaded-img” style=”min-height:200px;min-width:200px;” width=”auto” height=”auto”/>
</div>
<div class=”image-package”><img src=”https://upload-images.jianshu.io/upload_images/26011021-32bad0844fb20448.jpeg” img-data=”{“format”:”jpeg”,”size”:104973,”height”:570,”width”:1080}” class=”uploaded-img” style=”min-height:200px;min-width:200px;” width=”auto” height=”auto”/>
</div>
<div class=”image-package”><img src=”https://upload-images.jianshu.io/upload_images/26011021-f6ffe15483aadc7a.jpeg” img-data=”{“format”:”jpeg”,”size”:71939,”height”:587,”width”:1080}” class=”uploaded-img” style=”min-height:200px;min-width:200px;” width=”auto” height=”auto”/>
</div>
<div class=”image-package”><img src=”https://upload-images.jianshu.io/upload_images/26011021-4555a84da4508957.jpeg” img-data=”{“format”:”jpeg”,”size”:35470,”height”:321,”width”:1080}” class=”uploaded-img” style=”min-height:200px;min-width:200px;” width=”auto” height=”auto”/>
</div>
<div class=”image-package”><img src=”https://upload-images.jianshu.io/upload_images/26011021-53ec1a824148ec36.jpeg” img-data=”{“format”:”jpeg”,”size”:61945,”height”:589,”width”:1080}” class=”uploaded-img” style=”min-height:200px;min-width:200px;” width=”auto” height=”auto”/>
</div>
<div class=”image-package”><img src=”https://upload-images.jianshu.io/upload_images/26011021-fa69d7fc905c7b8b.jpeg” img-data=”{“format”:”jpeg”,”size”:54526,”height”:494,”width”:1080}” class=”uploaded-img” style=”min-height:200px;min-width:200px;” width=”auto” height=”auto”/>
</div>
<div class=”image-package”><img src=”https://upload-images.jianshu.io/upload_images/26011021-1dfc4c848e2f6adb.jpeg” img-data=”{“format”:”jpeg”,”size”:62667,”height”:465,”width”:1080}” class=”uploaded-img” style=”min-height:200px;min-width:200px;” width=”auto” height=”auto”/>
</div>
<div class=”image-package”><img src=”https://upload-images.jianshu.io/upload_images/26011021-b8e5233cc37be995.jpeg” img-data=”{“format”:”jpeg”,”size”:66425,”height”:554,”width”:1080}” class=”uploaded-img” style=”min-height:200px;min-width:200px;” width=”auto” height=”auto”/>
</div>
<div class=”image-package”><img src=”https://upload-images.jianshu.io/upload_images/26011021-23915df046d3981e.jpeg” img-data=”{“format”:”jpeg”,”size”:84630,”height”:594,”width”:1080}” class=”uploaded-img” style=”min-height:200px;min-width:200px;” width=”auto” height=”auto”/>
</div>

往期精彩
【知识图谱系列】探索DeepGNN中Over-Smoothing问题
【知识图谱系列】多关系神经网络CompGCN各大AI研究院共35场NLP算法岗面经奉上
干货 | Attention注意力机制超全综述干货|一文弄懂机器学习中偏差和方差Transformer模型细节理解及Tensorflow实现
机器学习算法篇：最大似然估计证明最小二乘法合理性