I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful. Every data point, every observation, every piece of knowledge doesn’t exist in ...

Knowledge Graph Embedding (KGE) has been widely studied as an important semantic enhancement technique that extracts expressive representation from Knowledge Graph (KG) to facilitate various ...

This youth self-organization project encompasses multiple innovative directions, reflecting the broad application prospects of AI technology in the railway sector. The projects include: AI contract ...

Knowledge and innovation teams have moved from solely building out a core function for their law firms to driving strategic business decisions.

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 ...