Search Results for author: Martin Blais

Found 4 papers, 4 papers with code

Pathfinder Discovery Networks for Neural Message Passing

1 code implementation24 Oct 2020 Benedek Rozemberczki, Peter Englert, Amol Kapoor, Martin Blais, Bryan Perozzi

Additional results from a challenging suite of node classification experiments show how PDNs can learn a wider class of functions than existing baselines.

Graph Attention Node Classification +1

Examining COVID-19 Forecasting using Spatio-Temporal Graph Neural Networks

3 code implementations6 Jul 2020 Amol Kapoor, Xue Ben, Luyang Liu, Bryan Perozzi, Matt Barnes, Martin Blais, Shawn O'Banion

In this work, we examine a novel forecasting approach for COVID-19 case prediction that uses Graph Neural Networks and mobility data.

Time Series Forecasting

Cannot find the paper you are looking for? You can Submit a new open access paper.