On the bottleneck of graph neural networks and its practical implications

U Alon, E Yahav - arXiv preprint arXiv:2006.05205, 2020 - arxiv.org
Since the proposal of the graph neural network (GNN) by Gori et al.(2005) and Scarselli et
al.(2008), one of the major problems in training GNNs was their struggle to propagate …

[PDF][PDF] On the Bottleneck of Graph Neural Networks and its Practical Implications

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Uri Alon Eran Yahav Page 1 On the Bottleneck of Graph Neural Networks and its Practical
Implications Uri Alon Eran Yahav Page 2 On the Bottleneck of Graph Neural Networks and its …

On the Bottleneck of Graph Neural Networks and its Practical Implications

U Alon, E Yahav - arXiv e-prints, 2020 - ui.adsabs.harvard.edu
Since the proposal of the graph neural network (GNN) by Gori et al.(2005) and Scarselli et
al.(2008), one of the major problems in training GNNs was their struggle to propagate …

[PDF][PDF] On the Bottleneck of Graph Neural Networks and its Practical Implications

U Alon - iclr.cc
Uri Alon Eran Yahav Page 1 On the Bottleneck of Graph Neural Networks and its Practical
Implications Uri Alon Eran Yahav Page 2 On the Bottleneck of Graph Neural Networks and its …

On the Bottleneck of Graph Neural Networks and its Practical Implications

U Alon, E Yahav - International Conference on Learning Representations - openreview.net
Since the proposal of the graph neural network (GNN) by Gori et al.(2005) and Scarselli et
al.(2008), one of the major problems in training GNNs was their struggle to propagate …

[PDF][PDF] On the Bottleneck of Graph Neural Networks and its Practical Implications

U Alon - iclr.cc
Uri Alon Eran Yahav Page 1 On the Bottleneck of Graph Neural Networks and its Practical
Implications Uri Alon Eran Yahav Page 2 On the Bottleneck of Graph Neural Networks and its …

[PDF][PDF] On the Bottleneck of Graph Neural Networks and its Practical Implications

U Alon - iclr.cc
Uri Alon Eran Yahav Page 1 On the Bottleneck of Graph Neural Networks and its Practical
Implications Uri Alon Eran Yahav Page 2 On the Bottleneck of Graph Neural Networks and its …