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cs.LG2020
An Experimental Study of the Transferability of Spectral Graph Networks
Axel Nilsson, Xavier Bresson
Spectral graph convolutional networks are generalizations of standard convolutional networks for graph-structured data using the Laplacian operator. A common misconception is the i…
cs.LG2020★ 228 cited
Benchmarking Graph Neural Networks
Vijay Prakash Dwivedi, Chaitanya K. Joshi, Anh Tuan Luu +3
In the last few years, graph neural networks (GNNs) have become the standard toolkit for analyzing and learning from data on graphs. This emerging field has witnessed an extensive…