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Amol Kapoor
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2020 – today
- 2021
- [c5]Benedek Rozemberczki, Peter Englert, Amol Kapoor, Martin Blais, Bryan Perozzi:
Pathfinder Discovery Networks for Neural Message Passing. WWW 2021: 2547-2558 - [i8]Sarah Di, Robin Yu, Amol Kapoor:
Embed Everything: A Method for Efficiently Co-Embedding Multi-Modal Spaces. CoRR abs/2110.04599 (2021) - 2020
- [c4]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: 2464-2473 - [i7]Aleksandar Bojchevski, Johannes Klicpera, Bryan Perozzi, Amol Kapoor, Martin Blais, Benedek Rózemberczki, Michal Lukasik, Stephan Günnemann:
Scaling Graph Neural Networks with Approximate PageRank. CoRR abs/2007.01570 (2020) - [i6]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 abs/2007.03113 (2020) - [i5]Benedek Rozemberczki, Peter Englert, Amol Kapoor, Martin Blais, Bryan Perozzi:
Pathfinder Discovery Networks for Neural Message Passing. CoRR abs/2010.12878 (2020)
2010 – 2019
- 2019
- [c3]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: 21-29 - [c2]Amol Kapoor, Hunter Larco, Raimondas Kiveris:
Nostalgin: Extracting 3D City Models from Historical Image Data. KDD 2019: 2565-2575 - [c1]Sami Abu-El-Haija, Amol Kapoor, Bryan Perozzi, Joonseok Lee:
N-GCN: Multi-scale Graph Convolution for Semi-supervised Node Classification. UAI 2019: 841-851 - [i4]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 abs/1905.00067 (2019) - [i3]Amol Kapoor, Hunter Larco, Raimondas Kiveris:
Nostalgin: Extracting 3D City Models from Historical Image Data. CoRR abs/1905.01772 (2019) - [i2]Ben Adlam, Charles Weill, Amol Kapoor:
Investigating Under and Overfitting in Wasserstein Generative Adversarial Networks. CoRR abs/1910.14137 (2019) - 2018
- [i1]Sami Abu-El-Haija, Amol Kapoor, Bryan Perozzi, Joonseok Lee:
N-GCN: Multi-scale Graph Convolution for Semi-supervised Node Classification. CoRR abs/1802.08888 (2018)
Coauthor Index
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