This study proposes a novel context-aware knowledge graph (CKG) framework to enhance traffic speed forecasting by effectively modeling spatial and temporal contexts.

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

The agentic AI solution, known internally as Weave, launched alongside a model benchmarking tool called LLM-IQ. It was built from the ground up using data sourced from carriers and operators to create ...

Graph Neural Networks (GNNs) have recently achieved significant success in processing non-Euclidean datasets, such as social and protein-protein interaction networks. However, these datasets often ...