GitHub

Simplifying Graph Convolutional Networks

This repo contains an example implementation of the Simple Graph Convolution (SGC) model, described in the ICML2019 paper Simplifying Graph Convolutional Networks. SGC removes the nonlinearities and ...
IEEE

Self-Attention Graph Convolution Residual Network for Traffic Data Completion

Abstract: Complete and accurate traffic data is critical in urban traffic management, planning and operation. In fact, real-world traffic data contains missing values due to multiple factors, such as ...
IEEE

Multi-Source Information Fusion Based DLaaS for Traffic Flow Prediction

Abstract: Traffic flow prediction is the key to transportation safety and efficiency. The advance in machine learning and deep learning has promoted the development of intelligent transportation ...
GitHub

matlab-deep-learning/SciML-and-Physics-Informed-Machine-Learning-Examples

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...
www.cs.cmu.edu

Tom Mitchell

For example, AI applications to medical diagnosis should be regulated very differently from AI applications to self-driving cars. U.S. National Academies report on AI and the Future of Work, study ...