ConvKB, introduced by Nguyen et al. in 2017, utilizes a convolutional neural network (CNN) to conduct knowledge graph embeddings by representing each triplet (h, r, t) as a three-row matrix A, which is input to a convolution layer to obtain feature maps.

Authors

• Person: Not available Organization: Springer
  Knowledge Graphs: Opportunities and Challenges - Springer Nature

Sources

• Knowledge Graphs: Opportunities and Challenges - Springer Nature link.springer.com Springer via serper

Referenced by nodes (2)

• knowledge graph embeddings concept
• triplets concept