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cs.LG2021
Label Propagation across Graphs: Node Classification using Graph Neural Tangent Kernels
Artun Bayer, Arindam Chowdhury, Santiago Segarra
Graph neural networks (GNNs) have achieved superior performance on node classification tasks in the last few years. Commonly, this is framed in a transductive semi-supervised learn…
cs.LG2021★ 3 cited
GIST: Distributed Training for Large-Scale Graph Convolutional Networks
Cameron R. Wolfe, Jingkang Yang, Arindam Chowdhury +4
The graph convolutional network (GCN) is a go-to solution for machine learning on graphs, but its training is notoriously difficult to scale both in terms of graph size and the num…