A new model integrating BIM technology and graph optimization achieves 95.6% positioning accuracy for urban underground ...

Researchers have developed enhanced Markov clustering, integrating reverse nearest-neighbor graph construction with adaptive ...

A professor has helped create a powerful new algorithm that uncovers hidden patterns in complex networks, with potential uses in fraud detection, biology and knowledge discovery. University of ...

Graph machine learning (or graph model), represented by graph neural networks, employs machine learning (especially deep learning) to graph data and is an important research direction in the ...

Note: this asynchronous material is part of EMA (Graph Applications in AI) and EMD (Graph Applications in Robotics). Its corresponding quizzes were native in Canvas and not reproduced here. We very ...

Our past columns have emphasized repeatedly that modeling is the single most important activity in mechatronics, which is becoming the design process of choice for successful multidisciplinary systems ...

If you’ve been making the same commute for a long time, you’ve probably settled on what seems like the best route. But “best” is a slippery concept. Perhaps one day there’s an accident or road closure ...