A deep dive into the unseen systems behind Google Search – uncovering live experiments, entity-based infrastructure, AI ...

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 ...

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

In a paper published in Journal of Geo-information Science, a group of researchers pioneered a new paradigm by leveraging large language models (LLMs) in constructing typhoon disaster knowledge graphs ...

We propose a knowledgedriven graph representation learning (KD-GRL) framework which is designed to guide deep learning models in identifying key features for MI localization using prior knowledge.

Knowledge engineers can hardly operate solo in their ivory towers; they need to collaborate with subject matter and domain experts down in the trenches.