Difference between revisions of "Dsc:progress"
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− | # Knowledge Graph Embedding: A Survey of Approaches and Applications (TKDE 2017) | + | # [https://ieeexplore.ieee.org/abstract/document/8047276/ Knowledge Graph Embedding: A Survey of Approaches and Applications (TKDE 2017)] |
模型: | 模型: | ||
− | # Translating Embeddings for Modeling Multi-relational Data (NIPS 2013) | + | # [https://hal.archives-ouvertes.fr/hal-00920777/ Translating Embeddings for Modeling Multi-relational Data (NIPS 2013)] |
− | # Knowledge Graph Embedding by Translating on Hyperplanes (AAAI 2014) | + | # [https://ojs.aaai.org/index.php/AAAI/article/view/8870 Knowledge Graph Embedding by Translating on Hyperplanes (AAAI 2014)] |
− | # Learning Entity and Relation Embeddings for Knowledge Graph Completion (AAAI 2015) | + | # [https://ojs.aaai.org/index.php/AAAI/article/view/9491 Learning Entity and Relation Embeddings for Knowledge Graph Completion (AAAI 2015)] |
− | # Knowledge Graph Embedding via Dynamic Mapping Matrix (IJCNLP 2015) | + | # [https://www.aclweb.org/anthology/P15-1067.pdf Knowledge Graph Embedding via Dynamic Mapping Matrix (IJCNLP 2015)] |
− | # Differentiating Concepts and Instances for Knowledge Graph Embedding (EMNLP 2018) | + | # [https://arxiv.org/abs/1811.04588 Differentiating Concepts and Instances for Knowledge Graph Embedding (EMNLP 2018)] |
系统: | 系统: |
Revision as of 07:45, 25 January 2021
Contents
研究目标
- 基于PyTorch底层API,设计容纳翻译模型(Trans系列)的分布式表示学习算法,以支持大规模知识图谱分布式表示学习
- 权衡计算通信代价,优化训练过程,在准确率不降低(或少量降低)的前提下,减少训练时间,提升效率
- 在真实知识图谱(DBpedia,Wikidata等)上进行对比实验,验证算法的准确性、高效性和可扩展性
相关论文
综述:
模型:
- Translating Embeddings for Modeling Multi-relational Data (NIPS 2013)
- Knowledge Graph Embedding by Translating on Hyperplanes (AAAI 2014)
- Learning Entity and Relation Embeddings for Knowledge Graph Completion (AAAI 2015)
- Knowledge Graph Embedding via Dynamic Mapping Matrix (IJCNLP 2015)
- Differentiating Concepts and Instances for Knowledge Graph Embedding (EMNLP 2018)
系统:
- PYTORCH-BIGGRAPH: A LARGE-SCALE GRAPH EMBEDDING SYSTEM (SysML 2019)
- Angel: a new large-scale machine learning system (National Science Review 2018)
State of the art工作
- PyTorch-Biggraph
- PS-Graph
- AliGraph
- DGL-KE
工具包
国内外相关课题组
- 北京大学 崔斌教授组