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 ...
IEEE

Graph Sample and Aggregate-Attention Network for Hyperspectral Image Classification

Abstract: Graph convolutional network (GCN) has shown potential in hyperspectral image (HSI) classification. However, GCN is a transductive learning method, which is difficult to aggregate the new ...
GitHub

kaize0409/Awesome-Graph-OOD

This repository for the paper 📘: A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation. The README file here maintains a list of ...
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 ...
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 ...