Amol Kapoor

According to our database, Amol Kapoor authored at least 8 papers between 2019 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Embed Everything: A Method for Efficiently Co-Embedding Multi-Modal Spaces.

Sarah Di, Robin Yu, Amol Kapoor

CoRR, 2021

Pathfinder Discovery Networks for Neural Message Passing.

Benedek Rozemberczki, Peter Englert, Amol Kapoor, Martin Blais, Bryan Perozzi

Proceedings of the WWW '21: The Web Conference 2021, 2021

2020

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

Amol Kapoor, Xue Ben, Luyang Liu, Bryan Perozzi, Matt Barnes, Martin Blais, Shawn O'Banion

CoRR, 2020

Scaling Graph Neural Networks with Approximate PageRank.

Aleksandar Bojchevski, Johannes Klicpera, Bryan Perozzi, Amol Kapoor, Martin Blais, Benedek Rózemberczki, Michal Lukasik, Stephan Günnemann

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

Investigating Under and Overfitting in Wasserstein Generative Adversarial Networks.

Ben Adlam, Charles Weill, Amol Kapoor

CoRR, 2019

N-GCN: Multi-scale Graph Convolution for Semi-supervised Node Classification.

Sami Abu-El-Haija, Amol Kapoor, Bryan Perozzi, Joonseok Lee

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Nostalgin: Extracting 3D City Models from Historical Image Data.

Amol Kapoor, Hunter Larco, Raimondas Kiveris

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing.

Sami Abu-El-Haija, Bryan Perozzi, Amol Kapoor, Nazanin Alipourfard, Kristina Lerman, Hrayr Harutyunyan, Greg Ver Steeg, Aram Galstyan

Proceedings of the 36th International Conference on Machine Learning, 2019