原文:Modeling Relational Data with Graph Convolutional Networks 使用 R-GCN 恢复知识库,包含节点分类和连接预测两个任务。节点分类直接使用R-GCN训练节点的表示进入softmax;连接预测是一个autoencoder,R-GCN产生节点的潜在表示,张量分解模型DistMult探索学习到的节点表达,预测边。 1.亮点 1.建模多类型连... 查看...
论文阅读笔记: Modeling Relational Data with Graph Convolutional Networks,程序员大本营,技术文章内容聚合第一站。
\begin{aligned} \mathcal{L}=-\frac{1}{(1+\omega)|\hat{\mathcal{E}}|} \sum_{(s, r, o, y) \in \mathcal{T}} y \log l(f(s, r, o))+ &(1-y) \log (1-l(f(s, r, o))) \end{aligned} 其中\mathcal{T}是所有真实样本以及被替换样本的三元组集合,l是sigmoid函数,y是...
Modeling Relational Data with Graph Convolutional Networks Schlichtkrull, M., Kipf, T.N., Bloem, P., van den Berg, R., Titov, I., Welling, M. (2018). Modeling Relational Data with Graph Convolutional Networks. In: , et al. The Semantic Web. ESWC 2018. Lecture Notes in Computer Scie...
We introduce Relational Graph Convolutional Networks (R-GCNs) and apply them to two standard knowledge base completion tasks: Link prediction (recovery of missing facts, i.e. subject-predicate-object triples) and entity classification (recovery of missing entity attributes). R-GCNs are related to ...
1 Introduction 论文主要关注的两个问题:链接预测和实体分类 2 Neural relational modeling 2.1 Relational graph convolutional networks 一些符号定义:将有标签的有向多重图定义为 G=(V,E,R),三元组为(vi,r,vj) 普通的GCN一般形式为: hi(l+1)=σ(∑m∈Migm(hi(l),hj(l))) (1) 其中, hi(l)是...
Schlichtkrull, M., Kipf, T.N., Bloem, P., van den Berg, R., Titov, I., Welling, M. (2018). Modeling Relational Data with Graph Convolutional Networks. In: Gangemi, A.,et al.The Semantic Web. ESWC 2018. Lecture Notes in Computer Science(), vol 10843. Springer, Cham. https:...
4. Modeling Relational Data with Graph Convolutional Networks [C] . Michael Schlichtkrull, Thomas N. Kipf, Peter Bloem, The semantic web . 2018 机译:使用图卷积网络建模关系数据 5. QUERY TRANSLATION IN A HETEROGENEOUS DISTRIBUTED DATABASE BASED ON HYPERGRAPH MODELS (RELATIONAL MODEL, HIERARCHIC...
About the conference Neo4j is a robust (fully ACID) transactional property graph database. Due to its graph data model, Neo4j is highly agile and blazing fast. For connected data operations, Neo4j runs a thousand times faster than relational databases....
First up, our relational database model: A relational database model of a domain with people and projects within an organization with several departments. If we were to adapt this relational database model into a graph database model, we would go through the following checklist to help with ...