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 ...

Knowledge Pipeline and Graph designed by using MistralAI. Similar to Obsidian, but compatible for all data types. The application is modular and flexible for upgrades by the developer or users. ai ...

Knowledge graph reasoning (KGR) seeks to infer new factual triples from existing knowledge graphs (KGs). Recent methods have unified transductive and inductive reasoning by learning entity-independent ...

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.

Such kind of graph-based representations of data are employed widely in computer science, especially in the field of artificial intelligence (AI). Indeed, choosing suitable representations to store ...