「知识表示学习」专题论文推荐 | 每周论文清单

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「知识表示学习」专题论文推荐 | 每周论文清单

技术小能手 2018-02-05 17:00:34 浏览2512
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[ 综述类 ]

ef73d15c19a709a3bad31281652d8039e52f8dcb

■ 论文 | Representation Learning: A Review and New Perspectives

■ 链接 | https://www.paperweekly.site/papers/1628

■ 源码 | 无

9243a9869b76c164b9ece6f53ccca86184597997

■ 论文 | Knowledge Representation Learning: A Review

■ 链接 | https://www.paperweekly.site/papers/1629

■ 源码 | 无

4f2b6a8bd6292572d7071ea5e75493bd4bf35725

■ 论文 | A Review of Relational Machine Learning for Knowledge Graphs

■ 链接 | https://www.paperweekly.site/papers/1630

■ 源码 | 无

aba987c88e147cd0227c54d808e0c4935647c9ea

■ 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 ]

ad77412a6e9d6713255bc44a7e5008c72a0b3354

■ 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

3088efe88d655c2688711ece2f4725e70db95e1f

■ 论文 | Learning Structured Embeddings of Knowledge Bases

■ 链接 | https://www.paperweekly.site/papers/1633

■ 源码 | 无

036f31beee4e6226679191fd6613979cacc7262c

■ 论文 | A Latent Factor Model for Highly Multi-relational Data

■ 链接 | https://www.paperweekly.site/papers/1634

■ 源码 | 无

acb1357ad5aec9054957210be5934ab5ff782e26

■ 论文 | Reasoning With Neural Tensor Networks for Knowledge Base Completion

■ 链接 | https://www.paperweekly.site/papers/1635

■ 源码 | 无

d337c60e80ec944fac5e53d76927adea9660f4a4


■ 论文 | Translating Embeddings for Modeling Multi-relational Data

■ 链接 | https://www.paperweekly.site/papers/1636

■ 源码 | https://github.com/thunlp/OpenKE

a0014ce001999e2f16844c24c336b2fa9cade414

■ 论文 | Knowledge Graph Embedding by Translating on Hyperplanes

■ 链接 | https://www.paperweekly.site/papers/1637

■ 源码 | https://github.com/thunlp/OpenKE

06acdd21c0bc4e0262b2f17fad071868e64b09c9




■ 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: 

452aecde298985dd3f84da1581e2667276a217ce

■ 论文 | Knowledge Graph Embedding via Dynamic Mapping Matrix

■ 链接 | https://www.paperweekly.site/papers/1639

■ 源码 | https://github.com/thunlp/KB2E

f54412d8c6db554922f981bee77695db4d0511d4

■ 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: 

3d1fb40a812abdba57b9296aff92f4198a552a20

■ 论文 | Learning to Represent Knowledge Graphs with Gaussian Embedding

■ 链接 | https://www.paperweekly.site/papers/1641

■ 源码 | 无

0e9fc4b88971f01969a2dc230612a19e7c9ced39

■ 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

fb05e691bfd75b9e5b3d2574507882397631f0f4




■ 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: 

10d98102f39d3cf5d1191574ab4c654d531b68a1

■ 论文 | Composing Relationships with Translations

■ 链接 | https://www.paperweekly.site/papers/1643

■ 源码 | 无

53a073cf6037501cbb0ebcb3f95a87c601133965

■ 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

16bc1ed9625ed3a09019021a5b8837dd650c78d6


■ 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: 

46d20634aad60952c408cfa5420afc6ea12eeb70

■ 论文 | Complex Embeddings for Simple Link Prediction

■ 链接 | https://www.paperweekly.site/papers/1646

■ 源码 | https://github.com/ttrouill/complex

16ef2c218b3b66e74d868ef79a1c3c2e995fb190

■ 论文 | Holographic Embeddings of Knowledge Graphs

■ 链接 | https://www.paperweekly.site/papers/556

■ 源码 | https://github.com/mnick/holographic-embeddings

e7effafc1023b94115e0907d9c1741078ba8daa8

■ 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: 

336eab7cac53c0d7028eb1e53f98195f4d12cab4

■ 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: 

02a88df8cebd80ddecbe2081c161e1deab954f98



■ 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: 

2e6667dde9871519371310ca3763b707e8ab4264

■ 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

94449deb2eed7ea8cb2e56f57f6d7f28d483a879




■ 论文 | GAKE: Graph Aware Knowledge Embedding

■ 链接 | https://www.paperweekly.site/papers/1651

■ 源码 | https://github.com/JuneFeng/GAKE

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■ 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

6a8b4bbd6f74c5b57fa57ad50408d2c58b71a752

■ 论文 | Learning First-Order Logic Embeddings via Matrix Factorization

■ 链接 | https://www.paperweekly.site/papers/1653

■ 源码 | 无

6344023b15dc46483e4379fbb9dfe7050eb2f631

■ 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

3b4d07dc79772b2c7121169cc3125660d558aaeb

■ 论文 | ProjE: Embedding Projection for Knowledge Graph Completion

■ 链接 | https://www.paperweekly.site/papers/1655

■ 源码 | https://github.com/bxshi/ProjE

8c91df06ec4c4caf46dc16cd88b008da26f0c0b7

■ 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

4a9c26d7cf61dc1f272c68f018ab35fad4b4d328

■ 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: 

7719fb32d5d8b03984f805803497b08240e9b71a

■ 论文 | Iterative Entity Alignment via Joint Knowledge Embeddings

■ 链接 | https://www.paperweekly.site/papers/1657

■ 源码 | https://github.com/thunlp/IEAJKE



原文发布时间为:2018-02-4

本文作者:让你更懂AI的

本文来自云栖社区合作伙伴“PaperWeekly”,了解相关信息可以关注“PaperWeekly”微信公众号

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