CLR, a novel contrastive learning method using graph-based sample relationships. This approach outperformed traditional ...

Here are three examples to help you better understand the value of knowledge representation. Clearly Define Decisions To Guide AI. Previously, I led an R&D effort to develop a search technology ...

Graphs are among the most widely-used data structures in machine learning. Their power comes from the flexibility of capturing relations ... types and representation of graphs, examples of prototype ...

The idea presented in the paper 'Knowledge Graphs: Representation and Structuring of Scientific Knowledge' by Rene Ronald Bakker, a researcher at HAN University of Applied Sciences in the ...