Amol Kapoor

发表

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

Kristina Lerman, Sami Abu-El-Haija, Aram Galstyan, 2019, ICML.

Pathfinder Discovery Networks for Neural Message Passing pdf

Peter Englert, Bryan Perozzi, Amol Kapoor, 2020, ArXiv.

Nostalgin: Extracting 3D City Models from Historical Image Data

Amol Kapoor, Raimondas Kiveris, Hunter Larco, 2019, KDD.

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

Joonseok Lee, Sami Abu-El-Haija, Bryan Perozzi, 2018, UAI.

Network of Graph Convolutional Networks Trained on Random Walks

Joonseok Lee, Sami Abu-El-Haija, Bryan Perozzi, 2018 .

Scaling Graph Neural Networks with Approximate PageRank

Johannes Klicpera, Aleksandar Bojchevski, Bryan Perozzi, 2020, KDD.

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

Luyang Liu, Bryan Perozzi, Xue Ben, 2020, ArXiv.

Using Mobility Data to Understand and Forecast COVID19 Dynamics

Samarth Swarup, Anil Vullikanti, Lijing Wang, 2020, medRxiv.

Investigating Under and Overfitting in Wasserstein Generative Adversarial Networks pdf

Ben Adlam, Amol Kapoor, Charles Weill, 2019, ArXiv.

Pathfinder Discovery Networks for Neural Message Passing

Peter Englert, Bryan Perozzi, Amol Kapoor, 2020, WWW.

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

Amol Kapoor, Sarah Di, Robin Yu, 2021, ArXiv.