Before you dismiss it as another note-taking application, hear me out. Thanks to its built-in task management, outline approach, graphs, annotation, offline support, and robust cross-platform ...

And while his current work is deeply technical, it’s rooted in something surprisingly human: identity, narrative, and the ...

Google popularized the term "knowledge graph" in this 2012 blog post. Since then, there has been a massive momentum around ...

This system takes an unstructured text document, and uses an LLM of your choice to extract knowledge in the form of Subject-Predicate-Object (SPO) triplets, and visualizes the relationships as an ...

Knowledge Graph Question Answering (KGQA) plays a crucial role in extracting valuable insights from interconnected information. Existing methods, while commendable, face challenges such as contextual ...

Add a description, image, and links to the knowledge-graph-construction topic page so that developers can more easily learn about it ...

Knowledge transfer among multiple networks, using predicted probabilities or intermediate-layer activations, has evolved significantly through extensive manual design, ranging from simple ...