A new contrastive learning framework called VMCL improves knowledge graph embedding for unseen entities and shows smooth, predictable gains as model capacity scales up.

Whether you’re genuinely interested in getting insights and solving problems using data, or just attracted by what has been called “the most promising career” by LinkedIn and the “best job in America” ...

In science, problems often appear that ask for the weight of metals like copper after they have been burned.You might think ...

Researchers have introduced distributed algorithms that detect communities in a class of networks where time is built ...

Researchers around the world are racing to find ways to combat the coronavirus pandemic. Among their many challenges is the need to connect and correlate disparate data sets to make connections and ...

Develop your students’ graph skills with this engaging KS3 Electromagnet Investigation. In this investigation, students explore how voltage affects the strength of an electromagnet while developing ...

Thanks to their visual simplicity, bar graphs are popular tools for representing data. But do we really understand how to read them? New research has found that bar graphs are frequently misunderstood ...