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stat.ML2020★ 1 cited
The Power of Graph Convolutional Networks to Distinguish Random Graph Models: Short Version
Abram Magner, Mayank Baranwal, Alfred O. Hero
Graph convolutional networks (GCNs) are a widely used method for graph representation learning. We investigate the power of GCNs, as a function of their number of layers, to distin…
stat.ML2019
Fundamental Limits of Deep Graph Convolutional Networks
Abram Magner, Mayank Baranwal, Alfred O. Hero
Graph convolutional networks (GCNs) are a widely used method for graph representation learning. To elucidate the capabilities and limitations of GCNs, we investigate their power, a…