schema:在知识图谱的嵌入模型中利用本体图式信息
在知识图谱的嵌入模型中利用本体图式信息
概述
该包包含以下所有源代码和数据集：
基于能量的知识图模型的有效训练。
在学习期间利用架构信息（在RDF架构中表示）。
此包中实现的模型扩展了以下工作中提出的模型：
翻译嵌入(TransE) - Bordes 等人，NIPS 2013。
语义匹配能量(SME) - Bordes 等人，MLJ 2013。
结构化嵌入(SE) - Bordes 等人，AAAI 2011。
包装内容：
learn_parameters.py ：处理主要的学习过程。
data/ ：包含所有数据集，即 FB13、FB15k、WN11、WN18、DBpedia 2014、YAGO3。 FB13、FB15k、WN11和WN18用于文献中的相关作品； DBpedia 2014 和 YAGO3 是来自语义 Web 文献的另外两个大型数据集。
energy/ ：包
文件下载
资源详情
[{"title":"（ 183 个子文件 141.99MB ） schema:在知识图谱的嵌入模型中利用本体图式信息","children":[{"title":"learn_parameters.py <span style='color:#111;'> 30.00KB </span>","children":null,"spread":false},{"title":"wn_optimal.py <span style='color:#111;'> 4.21KB </span>","children":null,"spread":false},{"title":"wn_50.py <span style='color:#111;'> 4.10KB </span>","children":null,"spread":false},{"title":"wn_20.py <span style='color:#111;'> 4.21KB </span>","children":null,"spread":false},{"title":"wn_100.py <span style='color:#111;'> 4.11KB </span>","children":null,"spread":false},{"title":"fb15k_optimal.py <span style='color:#111;'> 4.18KB </span>","children":null,"spread":false},{"title":"fb15k_20.py <span style='color:#111;'> 4.17KB </span>","children":null,"spread":false},{"title":"fb15k_100.py <span style='color:#111;'> 4.18KB </span>","children":null,"spread":false},{"title":"fb15k_50.py <span style='color:#111;'> 4.15KB </span>","children":null,"spread":false},{"title":"music_schema.py <span style='color:#111;'> 1.75KB </span>","children":null,"spread":false},{"title":"music_schema_u.py <span style='color:#111;'> 1.79KB </span>","children":null,"spread":false},{"title":"fb13_classification.py <span style='color:#111;'> 1.79KB </span>","children":null,"spread":false},{"title":"wn11_classification.py <span style='color:#111;'> 1.79KB </span>","children":null,"spread":false},{"title":"fb15k_schema_u.py <span style='color:#111;'> 1.68KB </span>","children":null,"spread":false},{"title":"fb15k_schema.py <span style='color:#111;'> 1.64KB </span>","children":null,"spread":false},{"title":"yago3_schema_u.py <span style='color:#111;'> 1.80KB </span>","children":null,"spread":false},{"title":"yago3_schema.py <span style='color:#111;'> 1.75KB </span>","children":null,"spread":false},{"title":"config.ini <span style='color:#111;'> 158B </span>","children":null,"spread":false},{"title":"show_losses.py <span style='color:#111;'> 6.58KB </span>","children":null,"spread":false},{"title":"LICENSE <span style='color:#111;'> 17.62KB </span>","children":null,"spread":false},{"title":"test.py <span style='color:#111;'> 1009B </span>","children":null,"spread":false},{"title":"rdf_splitter.py <span style='color:#111;'> 3.56KB </span>","children":null,"spread":false},{"title":"convert.py <span style='color:#111;'> 2.01KB </span>","children":null,"spread":false},{"title":"rdf_to_sparse.py <span style='color:#111;'> 4.83KB </span>","children":null,"spread":false},{"title":"similarity.py <span style='color:#111;'> 826B </span>","children":null,"spread":false},{"title":"evaluation.py <span style='color:#111;'> 21.53KB </span>","children":null,"spread":false},{"title":"model.py <span style='color:#111;'> 5.43KB </span>","children":null,"spread":false},{"title":"learning.py <span style='color:#111;'> 27.39KB </span>","children":null,"spread":false},{"title":"update.py <span style='color:#111;'> 3.23KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"regularization.py <span style='color:#111;'> 1.41KB </span>","children":null,"spread":false},{"title":"loss.py <span style='color:#111;'> 219B </span>","children":null,"spread":false},{"title":"activation.py <span style='color:#111;'> 366B </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"layer.py <span style='color:#111;'> 15.57KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 2.56KB </span>","children":null,"spread":false},{"title":"manifold.py <span style='color:#111;'> 1.29KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"cluster.py <span style='color:#111;'> 2.22KB </span>","children":null,"spread":false},{"title":"util.py <span style='color:#111;'> 15.15KB </span>","children":null,"spread":false},{"title":"WN-train.pkl <span style='color:#111;'> 15.42MB </span>","children":null,"spread":false},{"title":"WN-valid-rel.pkl <span style='color:#111;'> 199.41KB </span>","children":null,"spread":false},{"title":"WN-test-rhs.pkl <span style='color:#111;'> 199.41KB </span>","children":null,"spread":false},{"title":"WN-train-rhs.pkl <span style='color:#111;'> 1.24MB </span>","children":null,"spread":false},{"title":"WN-test-rel.pkl <span style='color:#111;'> 199.41KB </span>","children":null,"spread":false},{"title":"WN_synset2def.pkl <span style='color:#111;'> 3.79MB </span>","children":null,"spread":false},{"title":"WN-train-rel.pkl <span style='color:#111;'> 1.24MB </span>","children":null,"spread":false},{"title":"WN-train-lhs.pkl <span style='color:#111;'> 1.24MB </span>","children":null,"spread":false},{"title":"WN_synset2concept.pkl <span style='color:#111;'> 1.32MB </span>","children":null,"spread":false},{"title":"WN_synset2idx.pkl <span style='color:#111;'> 2.19MB </span>","children":null,"spread":false},{"title":"WN-valid-rhs.pkl <span style='color:#111;'> 199.41KB </span>","children":null,"spread":false},{"title":"WN-valid-lhs.pkl <span style='color:#111;'> 199.41KB </span>","children":null,"spread":false},{"title":"WN-test-lhs.pkl <span style='color:#111;'> 199.41KB </span>","children":null,"spread":false},{"title":"WN_idx2synset.pkl <span style='color:#111;'> 2.19MB </span>","children":null,"spread":false},{"title":"WN-valid.pkl <span style='color:#111;'> 5.04MB </span>","children":null,"spread":false},{"title":"merge.py <span style='color:#111;'> 2.23KB </span>","children":null,"spread":false},{"title":"WN-test.pkl <span style='color:#111;'> 5.04MB </span>","children":null,"spread":false},{"title":"music-train.pkl <span style='color:#111;'> 24.71MB </span>","children":null,"spread":false},{"title":"music-valid.pkl <span style='color:#111;'> 4.55MB </span>","children":null,"spread":false},{"title":"music_domains_ranges.pkl <span style='color:#111;'> 3.88MB </span>","children":null,"spread":false},{"title":"MD5SUM <span style='color:#111;'> 208B </span>","children":null,"spread":false},{"title":"music-test.pkl <span style='color:#111;'> 4.55MB </span>","children":null,"spread":false},{"title":"WN11_parse.py <span style='color:#111;'> 4.28KB </span>","children":null,"spread":false},{"title":"WN11-valid.pkl <span style='color:#111;'> 5.32MB </span>","children":null,"spread":false},{"title":"WN11-train.pkl <span style='color:#111;'> 13.23MB </span>","children":null,"spread":false},{"title":"train.triples.txt <span style='color:#111;'> 4.69MB </span>","children":null,"spread":false},{"title":"test.txt <span style='color:#111;'> 968.61KB </span>","children":null,"spread":false},{"title":"train.txt <span style='color:#111;'> 4.69MB </span>","children":null,"spread":false},{"title":"nips13-dataset.tar.bz2 <span style='color:#111;'> 3.96MB </span>","children":null,"spread":false},{"title":"valid.triples.txt <span style='color:#111;'> 238.54KB </span>","children":null,"spread":false},{"title":"dev.txt <span style='color:#111;'> 238.54KB </span>","children":null,"spread":false},{"title":"triples.txt <span style='color:#111;'> 5.81MB </span>","children":null,"spread":false},{"title":"test.triples.txt <span style='color:#111;'> 968.61KB </span>","children":null,"spread":false},{"title":"WN11-test.pkl <span style='color:#111;'> 6.83MB </span>","children":null,"spread":false},{"title":"WN11_merge.py <span style='color:#111;'> 2.51KB </span>","children":null,"spread":false},{"title":"WN11-train-rhs.pkl <span style='color:#111;'> 1.01MB </span>","children":null,"spread":false},{"title":"WN11-valid-targets.pkl <span style='color:#111;'> 40.90KB </span>","children":null,"spread":false},{"title":"WN11-train-rel.pkl <span style='color:#111;'> 1.01MB </span>","children":null,"spread":false},{"title":"WN11-test-targets.pkl <span style='color:#111;'> 164.88KB </span>","children":null,"spread":false},{"title":"WN11-test-rel.pkl <span style='color:#111;'> 315.87KB </span>","children":null,"spread":false},{"title":"WN11-test-lhs.pkl <span style='color:#111;'> 315.87KB </span>","children":null,"spread":false},{"title":"WN11-valid-rel.pkl <span style='color:#111;'> 191.88KB </span>","children":null,"spread":false},{"title":"WN11-train-lhs.pkl <span style='color:#111;'> 1.01MB </span>","children":null,"spread":false},{"title":"WN11_entity2idx.pkl <span style='color:#111;'> 2.33MB </span>","children":null,"spread":false},{"title":"WN11-test-rhs.pkl <span style='color:#111;'> 315.87KB </span>","children":null,"spread":false},{"title":"WN11_idx2entity.pkl <span style='color:#111;'> 2.33MB </span>","children":null,"spread":false},{"title":"WN11-valid-rhs.pkl <span style='color:#111;'> 191.88KB </span>","children":null,"spread":false},{"title":"WN11-valid-lhs.pkl <span style='color:#111;'> 191.88KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"fb15k_domains_ranges.pkl <span style='color:#111;'> 11.24MB </span>","children":null,"spread":false},{"title":"FB15k-valid.pkl <span style='color:#111;'> 5.66MB </span>","children":null,"spread":false},{"title":"FB15k_parse.py <span style='color:#111;'> 3.77KB </span>","children":null,"spread":false},{"title":"init.sh <span style='color:#111;'> 187B </span>","children":null,"spread":false},{"title":"FB15k-valid-rel.pkl <span style='color:#111;'> 454.62KB </span>","children":null,"spread":false},{"title":"FB15k-train-rel.pkl <span style='color:#111;'> 3.75MB </span>","children":null,"spread":false},{"title":"freebase_mtr100_mte100-test.txt <span style='color:#111;'> 4.39MB </span>","children":null,"spread":false},{"title":"fb15k_entities.txt <span style='color:#111;'> 142.98KB </span>","children":null,"spread":false},{"title":"FB15k-train-rhs.pkl <span style='color:#111;'> 3.75MB </span>","children":null,"spread":false},{"title":"fb15k_relations.txt <span style='color:#111;'> 82.21KB </span>","children":null,"spread":false},{"title":"FB15k_entity2idx.pkl <span style='color:#111;'> 975.59KB </span>","children":null,"spread":false},{"title":"......","children":null,"spread":false},{"title":"<span style='color:steelblue;'>文件过多，未全部展示</span>","children":null,"spread":false}],"spread":true}]
评论信息
其他资源
- 随机过程理论与应用 答案
- MyNotepad 1.0.0.8 (打开超大文本文件)
- FTP弱口令扫描，自动批量挂黑链（内附破解方法）
- c primer plus 第六版源码及习题参考代码
- HITRAN数据库大气吸收光谱
- 嵌入式实时操作系统μC OS-II经典实例 基于STM32处理器 第2版_刘波文，孙岩著.part1
- ieee9节点的PV曲线
- 基于laravel的博客系统
- NI Measurement Studio 用户界面库教程
- 计算机网络实验 分析IP.zip
- 英特尔PCIE V3.0转10G 2.5G 1G 100Mb 以太网控制器 X550 系列硬件参考设计原理图+技术手册资料.zip
- 01第一讲：Java基础方面陷阱.ppt
- 组网工程_小型机房组建.zip
- asciinema-player-for-github：:clapper_board::sparkles:浏览器扩展，可自动检测项目自述文件中的asciinema链接，并将asciinema播放器嵌入其位置-源码
- Proteus下SHT11数据监测系统的研究与设计
- 【090期】领悟社会支持量表.docx
- fontawesome-pro-5.12.0-web.zip
- php个人博客blog
- 《代码阅读》光盘文件2
- 多用户walsh码扩频通信代码
- 网络数据包还原和内容分析系统的设计与实现
- 狐表FoxTable教程—从入门到精通，详细讲述了狐表的各功能应用
- C#仓库管理系统+完整源代码
免责申明
【只为小站】的资源来自网友分享，仅供学习研究，请务必在下载后24小时内给予删除，不得用于其他任何用途，否则后果自负。基于互联网的特殊性，【只为小站】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查；无论 【只为小站】 经营者是否已进行审查，用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场，基于网友分享，根据中国法律《信息网络传播权保护条例》第二十二条之规定，若资源存在侵权或相关问题请联系本站客服人员，zhiweidada#qq.com，请把#换成@，本站将给予最大的支持与配合，做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明
本站所有资源不代表本站的观点或立场，基于网友分享，根据中国法律《信息网络传播权保护条例》第二十二条之规定，若资源存在侵权或相关问题请联系本站客服人员，zhiweidada#qq.com，请把#换成@，本站将给予最大的支持与配合，做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明