BEM refines pre-trained knowledge graph and behavior graph embeddings in a Bayesian generative model, reporting improved node classification, link prediction, triplet classification, and e-commerce recommendation over original and concatenated embeddings.
A comprehensive survey of graph embedding: problems, techniques and applications
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.LG 1years
2019 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks
BEM refines pre-trained knowledge graph and behavior graph embeddings in a Bayesian generative model, reporting improved node classification, link prediction, triplet classification, and e-commerce recommendation over original and concatenated embeddings.