Amol Kapoor

Scaling Graph Neural Networks with Approximate PageRank

Aleksandar Bojchevski, Johannes Gasteiger, Bryan Perozzi et al. · 2020 · 345 citations · Full text

Engineering, Machine Learning, Large Graphs +16

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

Sami Abu-El-Haija, Bryan Perozzi, Amol Kapoor et al. · arXiv (Cornell University) · 2019 · 269 citations · Full text

Geometric Learning, Graph Neural Networks, Network Science +15

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

Sami Abu-El-Haija, Bryan Perozzi, Amol Kapoor et al. · arXiv (Cornell University) · 2019 · 163 citations · Full text

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

Amol Kapoor, Xue Ben, Luyang Liu et al. · arXiv (Cornell University) · 2020 · 148 citations · Full text

Forecasting Methodology, Graph Neural Network, Engineering +14

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

Sami Abu-El-Haija, Amol Kapoor, Bryan Perozzi et al. · arXiv (Cornell University) · 2018 · 78 citations · Full text

Natural Language Processing, Geometric Learning, Multi-scale Graph Convolution +14