A recent study published from researchers at the University of Washington showed that language ability and problem solving skills best predict how quickly people learn Python, a popular programming ...

Graph Database Market The global graph database market growth will be propelled through 2034 at a massive CAGR of 19.4%. With the growing data usage and the rising data storage requirements, the ...

This study proposes LiP-LLM: integrating linear programming and dependency graph with large language models (LLMs) for multi-robot task planning. For multi-robots to efficiently perform tasks, it is ...

NVIDIA's cuOpt leverages GPU technology to drastically accelerate linear programming, achieving performance up to 5,000 times faster than traditional CPU-based solutions.

The ACM cited the trio for their contributions to algorithm engineering, which revolutionized large-scale graph processing on shared-memory machines. In 2013, Blelloch, Dhulipala and Shun began ...

We propose a novel approach for estimation of the nonparametric function and establish the local asymptotics of the estimator. The result is useful for massive data with possibly different linear ...

TheWebConf'24 full paper - "Linear-Time Graph Neural Networks for Scalable Recommendations" python machine-learning pytorch recommender-system graph-neural-networks ...