论文浅尝 |「知识表示学习」专题论文推荐
2018-02-12 00:00
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本文转载自公众号:PaperWeekly。
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。
OpenKG.CN
中文开放知识图谱(简称OpenKG.CN)旨在促进中文知识图谱数据的开放与互联,促进知识图谱和语义技术的普及和广泛应用。
点击阅读原文,进入 OpenKG 博客。
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。
OpenKG.CN
中文开放知识图谱(简称OpenKG.CN)旨在促进中文知识图谱数据的开放与互联,促进知识图谱和语义技术的普及和广泛应用。
点击阅读原文,进入 OpenKG 博客。
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