Unlike traditional databases, knowledge graphs organize information as nodes and edges, making them better for AI systems that reason & infer.

BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs ...

Scientists have developed an exact approach to a key quantum error correction problem once believed to be unsolvable, and have shown that what appeared to be hardware-related errors may in fact be due ...

A study by Professor Yinhua Huang’s team at China Agricultural University has for the first time constructed a “graph-based pan-genome” for chickens, ...

Russia stepped up its strikes on Ukraine in the weeks following Ukraine’s audacious drone attack deep in Russian territory. Four airfields were hit that were home to strategic bombers capable of ...

Enable belief propagation algorithm on large factor graphs Problem Pgmpy struggles with running BP on graphs over ~1,000 variables (perhaps also with fewer!). Solution Rather than copying a one‐day ...

By employing reinforcement learning algorithms, the system continuously refines its model based on learner feedback and past interactions. The introduction of cognitive graphs enhances the system’s ...

This paper provides a comprehensive review and analysis of non-binary LDPC decoding algorithms, focusing on their efficiency, complexity, and performance. Furthermore, recent advancements and ...