Amol Kapoor

Publication Activity (10 Years)

Years Active: 2018-2021
Publications (10 Years): 13

Top Topics

Minimal Spanning Tree

Graph Structure

Betweenness Centrality

Top Venues

Publications

Benedek Rozemberczki, Peter Englert, Amol Kapoor, Martin Blais, Bryan Perozzi
Pathfinder Discovery Networks for Neural Message Passing. WWW (2021)
Sarah Di, Robin Yu, Amol Kapoor
Embed Everything: A Method for Efficiently Co-Embedding Multi-Modal Spaces. CoRR (2021)
Aleksandar Bojchevski, Johannes Klicpera, Bryan Perozzi, Amol Kapoor, Martin Blais, Benedek Rózemberczki, Michal Lukasik, Stephan Günnemann
Scaling Graph Neural Networks with Approximate PageRank. CoRR (2020)
Amol Kapoor, Xue Ben, Luyang Liu, Bryan Perozzi, Matt Barnes, Martin Blais, Shawn O'Banion
Examining COVID-19 Forecasting using Spatio-Temporal Graph Neural Networks. CoRR (2020)
Benedek Rozemberczki, Peter Englert, Amol Kapoor, Martin Blais, Bryan Perozzi
Pathfinder Discovery Networks for Neural Message Passing. CoRR (2020)
Aleksandar Bojchevski, Johannes Klicpera, Bryan Perozzi, Amol Kapoor, Martin Blais, Benedek Rózemberczki, Michal Lukasik, Stephan Günnemann
Scaling Graph Neural Networks with Approximate PageRank. KDD (2020)
Sami Abu-El-Haija, Amol Kapoor, Bryan Perozzi, Joonseok Lee
N-GCN: Multi-scale Graph Convolution for Semi-supervised Node Classification. UAI (2019)
Sami Abu-El-Haija, Bryan Perozzi, Amol Kapoor, Nazanin Alipourfard, Kristina Lerman, Hrayr Harutyunyan, Greg Ver Steeg, Aram Galstyan
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing. ICML (2019)
Amol Kapoor, Hunter Larco, Raimondas Kiveris
Nostalgin: Extracting 3D City Models from Historical Image Data. CoRR (2019)
Amol Kapoor, Hunter Larco, Raimondas Kiveris
Nostalgin: Extracting 3D City Models from Historical Image Data. KDD (2019)
Sami Abu-El-Haija, Bryan Perozzi, Amol Kapoor, Hrayr Harutyunyan, Nazanin Alipourfard, Kristina Lerman, Greg Ver Steeg, Aram Galstyan
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing. CoRR (2019)
Ben Adlam, Charles Weill, Amol Kapoor
Investigating Under and Overfitting in Wasserstein Generative Adversarial Networks. CoRR (2019)
Sami Abu-El-Haija, Amol Kapoor, Bryan Perozzi, Joonseok Lee
N-GCN: Multi-scale Graph Convolution for Semi-supervised Node Classification. CoRR (2018)