Difference between revisions of "Dsc:progress"
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# 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 | # 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 == | + | == 相关论文 == |
+ | |||
+ | 综述: | ||
+ | # Knowledge Graph Embedding: A Survey of Approaches and Applications (TKDE 2017) | ||
+ | |||
+ | 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 | ||
+ | # | ||
== State of the art工作 == | == State of the art工作 == |
Revision as of 07:32, 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:
- Knowledge Graph Embedding: A Survey of Approaches and Applications (TKDE 2017)
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
State of the art工作
- PyTorch-Biggraph
- PS-Graph
- AliGraph
- DGL-KE