AWS enters the context layer race with a graph that learns from agents, not manual curation

AWS Context is a self-learning knowledge graph for enterprise data — it propagates agent-discovered relationships ...
Nature

Using knowledge graphs and deep learning algorithms to enhance digital cultural heritage management

Cultural heritage management poses significant challenges for museums due to fragmented data, limited intelligent frameworks, and insufficient applications. In response, a digital cultural heritage ...
Nature

Knowledge graph-aided Bayesian active learning for top-K genetic interaction discovery

In silico methods for predicting the effects of multi-gene perturbations hold great promise for advancing functional genomics, computational drug discovery, and disease modeling. However, the ...