claim
Xiao H, Huang M, Hao Y et al published the paper 'Transg: a generative mixture model for knowledge graph embedding' as an arXiv preprint in 2015.
Authors
Sources
- Knowledge Graphs: Opportunities and Challenges - Springer Nature link.springer.com via serper
Referenced by nodes (1)
- knowledge graph embeddings concept