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Nostalgin: Extracting 3D City Models from Historical Image Data., , and . KDD, page 2565-2575. ACM, (2019)N-GCN: Multi-scale Graph Convolution for Semi-supervised Node Classification., , , and . CoRR, (2018)Pathfinder Discovery Networks for Neural Message Passing., , , , and . CoRR, (2020)Examining COVID-19 Forecasting using Spatio-Temporal Graph Neural Networks., , , , , , and . CoRR, (2020)Embed Everything: A Method for Efficiently Co-Embedding Multi-Modal Spaces., , and . CoRR, (2021)N-GCN: Multi-scale Graph Convolution for Semi-supervised Node Classification., , , and . UAI, volume 115 of Proceedings of Machine Learning Research, page 841-851. AUAI Press, (2019)Scaling Graph Neural Networks with Approximate PageRank., , , , , , , and . KDD, page 2464-2473. ACM, (2020)Investigating Under and Overfitting in Wasserstein Generative Adversarial Networks., , and . CoRR, (2019)Pathfinder Discovery Networks for Neural Message Passing., , , , and . WWW, page 2547-2558. ACM / IW3C2, (2021)MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing, , , , , , , and . CoRR, (2019)