「知识表示学习」专题论文推荐 | 每周论文清单
2018-02-05 00:00
204 查看
本期论文清单来自清华大学博士生韩旭和北师大本科生曹书林,涵盖了近年知识表示学习方向的重要论文。
[ 综述类 ]
■ 论文 | Representation Learning: A Review and New Perspectives■ 链接 | https://www.paperweekly.site/papers/1628■ 源码 | 无
■ 论文 | Knowledge Representation Learning: A Review■ 链接 | https://www.paperweekly.site/papers/1629■ 源码 | 无
■ 论文 | A Review of Relational Machine Learning for Knowledge Graphs■ 链接 | https://www.paperweekly.site/papers/1630■ 源码 | 无
■ 论文 | Knowledge Graph Embedding: A Survey of Approaches and Applications■ 链接 | https://www.paperweekly.site/papers/1425■ 源码 | 无
[ 期刊 & 顶会 ]
■ 论文 | A Three-Way Model for Collective Learning on Multi-Relational Data■ 链接 | https://www.paperweekly.site/papers/1632■ 源码 | https://github.com/thunlp/OpenKE
■ 论文 | Learning Structured Embeddings of Knowledge Bases■ 链接 | https://www.paperweekly.site/papers/1633■ 源码 | 无
■ 论文 | A Latent Factor Model for Highly Multi-relational Data■ 链接 | https://www.paperweekly.site/papers/1634■ 源码 | 无
■ 论文 | Reasoning With Neural Tensor Networks for Knowledge Base Completion■ 链接 | https://www.paperweekly.site/papers/1635■ 源码 | 无
■ 论文 | Translating Embeddings for Modeling Multi-relational Data■ 链接 | https://www.paperweekly.site/papers/1636■ 源码 | https://github.com/thunlp/OpenKE
■ 论文 | Knowledge Graph Embedding by Translating on Hyperplanes■ 链接 | https://www.paperweekly.site/papers/1637■ 源码 | https://github.com/thunlp/OpenKE
■ 论文 | Learning Entity and Relation Embeddings for Knowledge Graph Completion■ 链接 | https://www.paperweekly.site/papers/1638■ 源码 | https://github.com/thunlp/KB2E 扩展阅读:
Knowledge Representation and Acquisition | 实录·PhD Talk
■ 论文 | Knowledge Graph Embedding via Dynamic Mapping Matrix■ 链接 | https://www.paperweekly.site/papers/1639■ 源码 | https://github.com/thunlp/KB2E
■ 论文 | TransA: An Adaptive Approach for Knowledge Graph Embedding■ 链接 | https://www.paperweekly.site/papers/1640■ 源码 | 无
扩展阅读:
综述 | 知识图谱向量化表示
■ 论文 | Learning to Represent Knowledge Graphs with Gaussian Embedding■ 链接 | https://www.paperweekly.site/papers/1641■ 源码 | 无
■ 论文 | Embedding Entities and Relations for Learning and Inference in Knowledge Bases■ 链接 | https://www.paperweekly.site/papers/1642■ 源码 | https://github.com/thunlp/OpenKE
■ 论文 | Modeling Relation Paths for Representation Learning of Knowledge Bases■ 链接 | https://www.paperweekly.site/papers/1111■ 源码 | https://github.com/thunlp/KB2E 扩展阅读:
Knowledge Representation and Acquisition | 实录·PhD Talk
■ 论文 | Composing Relationships with Translations■ 链接 | https://www.paperweekly.site/papers/1643■ 源码 | 无
■ 论文 | From One Point to A Manifold: Knowledge Graph Embedding For Precise Link Prediction■ 链接 | https://www.paperweekly.site/papers/1644■ 源码 | 无
■ 论文 | TransG : A Generative Model for Knowledge Graph Embedding■ 链接 | https://www.paperweekly.site/papers/1645■ 源码 | https://github.com/BookmanHan/Embedding 扩展阅读:
一周论文 | 基于翻译模型(Trans系列)的知识表示学习
■ 论文 | Complex Embeddings for Simple Link Prediction■ 链接 | https://www.paperweekly.site/papers/1646■ 源码 | https://github.com/ttrouill/complex
■ 论文 | Holographic Embeddings of Knowledge Graphs■ 链接 | https://www.paperweekly.site/papers/556■ 源码 | https://github.com/mnick/holographic-embeddings
■ 论文 | Knowledge Representation Learning with Entities, Attributes and Relations■ 链接 | https://www.paperweekly.site/papers/1647■ 源码 | https://github.com/thunlp/KR-EAR
扩展阅读:
Knowledge Representation and Acquisition | 实录·PhD Talk
■ 论文 | Knowledge Graph Completion with Adaptive Sparse Transfer Matrix■ 链接 | https://www.paperweekly.site/papers/1648■ 源码 | https://github.com/thunlp/KB2E
扩展阅读:
综述 | 知识图谱向量化表示
■ 论文 | Representation Learning of Knowledge Graphs with Hierarchical Types■ 链接 | https://www.paperweekly.site/papers/1649■ 源码 | https://github.com/thunlp/TKRL
扩展阅读:
多源信息表示学习在知识图谱中的应用 | 实录·Guru Talk
■ 论文 | STransE: A Novel Embedding Model of Entities and Relationships in Knowledge Bases■ 链接 | https://www.paperweekly.site/papers/1650■ 源码 | https://github.com/datquocnguyen/STransE
■ 论文 | GAKE: Graph Aware Knowledge Embedding■ 链接 | https://www.paperweekly.site/papers/1651■ 源码 | https://github.com/JuneFeng/GAKE
■ 论文 | Representation Learning of Knowledge Graphs with Entity Descriptions■ 链接 | https://www.paperweekly.site/papers/1652■ 源码 | https://github.com/thunlp/DKRL
■ 论文 | Learning First-Order Logic Embeddings via Matrix Factorization■ 链接 | https://www.paperweekly.site/papers/1653■ 源码 | 无
■ 论文 | Semantic Space Projection for Knowledge Graph Embedding with Text Descriptions■ 链接 | https://www.paperweekly.site/papers/1654■ 源码 | http://www.ibookman.net/conference.html
■ 论文 | ProjE: Embedding Projection for Knowledge Graph Completion■ 链接 | https://www.paperweekly.site/papers/1655■ 源码 | https://github.com/bxshi/ProjE
■ 论文 | Analogical Inference for Multi-Relational Embeddings■ 链接 | https://www.paperweekly.site/papers/1656■ 源码 | https://github.com/mana-ysh/knowledge-graph-embeddings
■ 论文 | Image-embodied Knowledge Representation Learning■ 链接 | https://www.paperweekly.site/papers/449■ 源码 | https://github.com/xrb92/IKRL
扩展阅读:
多源信息表示学习在知识图谱中的应用 | 实录·Guru Talk
■ 论文 | Iterative Entity Alignment via Joint Knowledge Embeddings■ 链接 | https://www.paperweekly.site/papers/1657■ 源码 | https://github.com/thunlp/IEAJKE
[b][b]关于PaperWeekly[/b][/b]
[b][/b]PaperWeekly 是一个推荐、解读、讨论、报道人工智能前沿论文成果的学术平台。如果你研究或从事 AI 领域,欢迎在公众号后台点击「交流群」,小助手将把你带入 PaperWeekly 的交流群里。
▽ 点击 | 阅读原文 | 访问作者Github
[ 综述类 ]
■ 论文 | Representation Learning: A Review and New Perspectives■ 链接 | https://www.paperweekly.site/papers/1628■ 源码 | 无
■ 论文 | Knowledge Representation Learning: A Review■ 链接 | https://www.paperweekly.site/papers/1629■ 源码 | 无
■ 论文 | A Review of Relational Machine Learning for Knowledge Graphs■ 链接 | https://www.paperweekly.site/papers/1630■ 源码 | 无
■ 论文 | Knowledge Graph Embedding: A Survey of Approaches and Applications■ 链接 | https://www.paperweekly.site/papers/1425■ 源码 | 无
[ 期刊 & 顶会 ]
■ 论文 | A Three-Way Model for Collective Learning on Multi-Relational Data■ 链接 | https://www.paperweekly.site/papers/1632■ 源码 | https://github.com/thunlp/OpenKE
■ 论文 | Learning Structured Embeddings of Knowledge Bases■ 链接 | https://www.paperweekly.site/papers/1633■ 源码 | 无
■ 论文 | A Latent Factor Model for Highly Multi-relational Data■ 链接 | https://www.paperweekly.site/papers/1634■ 源码 | 无
■ 论文 | Reasoning With Neural Tensor Networks for Knowledge Base Completion■ 链接 | https://www.paperweekly.site/papers/1635■ 源码 | 无
■ 论文 | Translating Embeddings for Modeling Multi-relational Data■ 链接 | https://www.paperweekly.site/papers/1636■ 源码 | https://github.com/thunlp/OpenKE
■ 论文 | Knowledge Graph Embedding by Translating on Hyperplanes■ 链接 | https://www.paperweekly.site/papers/1637■ 源码 | https://github.com/thunlp/OpenKE
■ 论文 | Learning Entity and Relation Embeddings for Knowledge Graph Completion■ 链接 | https://www.paperweekly.site/papers/1638■ 源码 | https://github.com/thunlp/KB2E 扩展阅读:
Knowledge Representation and Acquisition | 实录·PhD Talk
■ 论文 | Knowledge Graph Embedding via Dynamic Mapping Matrix■ 链接 | https://www.paperweekly.site/papers/1639■ 源码 | https://github.com/thunlp/KB2E
■ 论文 | TransA: An Adaptive Approach for Knowledge Graph Embedding■ 链接 | https://www.paperweekly.site/papers/1640■ 源码 | 无
扩展阅读:
综述 | 知识图谱向量化表示
■ 论文 | Learning to Represent Knowledge Graphs with Gaussian Embedding■ 链接 | https://www.paperweekly.site/papers/1641■ 源码 | 无
■ 论文 | Embedding Entities and Relations for Learning and Inference in Knowledge Bases■ 链接 | https://www.paperweekly.site/papers/1642■ 源码 | https://github.com/thunlp/OpenKE
■ 论文 | Modeling Relation Paths for Representation Learning of Knowledge Bases■ 链接 | https://www.paperweekly.site/papers/1111■ 源码 | https://github.com/thunlp/KB2E 扩展阅读:
Knowledge Representation and Acquisition | 实录·PhD Talk
■ 论文 | Composing Relationships with Translations■ 链接 | https://www.paperweekly.site/papers/1643■ 源码 | 无
■ 论文 | From One Point to A Manifold: Knowledge Graph Embedding For Precise Link Prediction■ 链接 | https://www.paperweekly.site/papers/1644■ 源码 | 无
■ 论文 | TransG : A Generative Model for Knowledge Graph Embedding■ 链接 | https://www.paperweekly.site/papers/1645■ 源码 | https://github.com/BookmanHan/Embedding 扩展阅读:
一周论文 | 基于翻译模型(Trans系列)的知识表示学习
■ 论文 | Complex Embeddings for Simple Link Prediction■ 链接 | https://www.paperweekly.site/papers/1646■ 源码 | https://github.com/ttrouill/complex
■ 论文 | Holographic Embeddings of Knowledge Graphs■ 链接 | https://www.paperweekly.site/papers/556■ 源码 | https://github.com/mnick/holographic-embeddings
■ 论文 | Knowledge Representation Learning with Entities, Attributes and Relations■ 链接 | https://www.paperweekly.site/papers/1647■ 源码 | https://github.com/thunlp/KR-EAR
扩展阅读:
Knowledge Representation and Acquisition | 实录·PhD Talk
■ 论文 | Knowledge Graph Completion with Adaptive Sparse Transfer Matrix■ 链接 | https://www.paperweekly.site/papers/1648■ 源码 | https://github.com/thunlp/KB2E
扩展阅读:
综述 | 知识图谱向量化表示
■ 论文 | Representation Learning of Knowledge Graphs with Hierarchical Types■ 链接 | https://www.paperweekly.site/papers/1649■ 源码 | https://github.com/thunlp/TKRL
扩展阅读:
多源信息表示学习在知识图谱中的应用 | 实录·Guru Talk
■ 论文 | STransE: A Novel Embedding Model of Entities and Relationships in Knowledge Bases■ 链接 | https://www.paperweekly.site/papers/1650■ 源码 | https://github.com/datquocnguyen/STransE
■ 论文 | GAKE: Graph Aware Knowledge Embedding■ 链接 | https://www.paperweekly.site/papers/1651■ 源码 | https://github.com/JuneFeng/GAKE
■ 论文 | Representation Learning of Knowledge Graphs with Entity Descriptions■ 链接 | https://www.paperweekly.site/papers/1652■ 源码 | https://github.com/thunlp/DKRL
■ 论文 | Learning First-Order Logic Embeddings via Matrix Factorization■ 链接 | https://www.paperweekly.site/papers/1653■ 源码 | 无
■ 论文 | Semantic Space Projection for Knowledge Graph Embedding with Text Descriptions■ 链接 | https://www.paperweekly.site/papers/1654■ 源码 | http://www.ibookman.net/conference.html
■ 论文 | ProjE: Embedding Projection for Knowledge Graph Completion■ 链接 | https://www.paperweekly.site/papers/1655■ 源码 | https://github.com/bxshi/ProjE
■ 论文 | Analogical Inference for Multi-Relational Embeddings■ 链接 | https://www.paperweekly.site/papers/1656■ 源码 | https://github.com/mana-ysh/knowledge-graph-embeddings
■ 论文 | Image-embodied Knowledge Representation Learning■ 链接 | https://www.paperweekly.site/papers/449■ 源码 | https://github.com/xrb92/IKRL
扩展阅读:
多源信息表示学习在知识图谱中的应用 | 实录·Guru Talk
■ 论文 | Iterative Entity Alignment via Joint Knowledge Embeddings■ 链接 | https://www.paperweekly.site/papers/1657■ 源码 | https://github.com/thunlp/IEAJKE
[b][b]关于PaperWeekly[/b][/b]
[b][/b]PaperWeekly 是一个推荐、解读、讨论、报道人工智能前沿论文成果的学术平台。如果你研究或从事 AI 领域,欢迎在公众号后台点击「交流群」,小助手将把你带入 PaperWeekly 的交流群里。
▽ 点击 | 阅读原文 | 访问作者Github
相关文章推荐
- 论文浅尝 |「知识表示学习」专题论文推荐
- DKRL论文:实体描述的知识图谱的表示学习
- 论文浅尝 | 基于置信度的知识图谱表示学习框架
- [置顶] 深度学习DeepLearning推荐论文清单 初学者入门推荐学习路线
- 「推荐系统」领域近期有哪些值得读的论文?| 每周论文清单
- DKRL论文:实体描述的知识图谱的表示学习
- AAAI 2018论文解读 | 基于置信度的知识图谱表示学习框架
- 深度学习DeepLearning推荐论文清单
- 每周论文清单:知识图谱,文本匹配,图像翻译,视频对象分割
- TKRL论文:具有层次类型的知识图谱表示学习
- 2017 年最推荐的五篇深度学习论文
- 架构师推荐学习的一些知识体系
- DLRS(近三年深度学习应用于推荐系统论文汇总)
- iOS开发学习专题-基础知识(二)NSArray数组NSMutableArray可变数组NSSet集合NSMutableSet可变集合详细使用方式
- 清华大学开源OpenKE:知识表示学习平台
- 给你一份Spring Boot核心知识清单 推荐
- 每周论文清单:高质量文本生成,多模态情感分析,还有一大波GAN | PaperDaily #26
- 推荐一个入门级linux等知识学习的youtube视频站
- 干货 知识图谱研究青年学者研讨会在清华大学顺利召开刘知远 报告题目:大规模知识图谱表示学习的研究趋势与挑战
- iOS开发学习专题-基础知识(五) NSDate时间 NSUserDefaults本地存储 NSNotification系统通知的详细使用方式