SSTKG: Simple Spatio-Temporal Knowledge Graph for Intepretable and Versatile Dynamic Information Embedding

Understand

Knowledge graphs (KGs) have been increasingly employed for link prediction and recommendation using real-world datasets.

• However, the majority of current methods rely on static data, neglecting the dynamic nature and the hidden spatio-temporal attributes of real-world scenarios.
• This often results in suboptimal predictions and recommendations.
• Although there are effective spatio-temporal inference methods, they face challenges such as scalability with large datasets and inadequate semantic understanding, which impede their performance.