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

Abstract: In this article, we propose a new linear regression (LR ... to learn an intrinsic graph. Moreover, DRAGD provides a new way to simultaneously capture the local geometric structure and ...

First, the model adopts tensor canonical polyadic (CP) decomposition to learn two dictionaries from spatial and spectral directions, respectively, which can help to generate a double dictionary ...

Predicting car prices using multiple linear regression. This project uses real-world automotive data to train a machine learning model capable of estimating car prices based on technical ...

🎓 Python script that builds and visualizes a directed academic graph including students, professors, courses, research projects, and publications using NetworkX. Exports to GraphML, GEXF, and JSON ...