Weisfeiler and leman go neural: Higher-order graph neural networks
In recent years, graph neural networks (GNNs) have emerged as a powerful neural
architecture to learn vector representations of nodes and graphs in a supervised, end-to-end …
architecture to learn vector representations of nodes and graphs in a supervised, end-to-end …
Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks
C Morris, M Ritzert, M Fey, WL Hamilton… - arXiv e …, 2018 - ui.adsabs.harvard.edu
In recent years, graph neural networks (GNNs) have emerged as a powerful neural
architecture to learn vector representations of nodes and graphs in a supervised, end-to-end …
architecture to learn vector representations of nodes and graphs in a supervised, end-to-end …
Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks
C Morris, M Ritzert, M Fey, WL Hamilton… - arXiv preprint arXiv …, 2018 - arxiv.org
In recent years, graph neural networks (GNNs) have emerged as a powerful neural
architecture to learn vector representations of nodes and graphs in a supervised, end-to-end …
architecture to learn vector representations of nodes and graphs in a supervised, end-to-end …
[PDF][PDF] Weisfeiler and Leman Go Neural: Higher-Order Graph Neural Networks
C Morris, M Ritzert, M Fey, WL Hamilton, JE Lenssen… - 2019 - scholar.archive.org
In recent years, graph neural networks (GNNs) have emerged as a powerful neural
architecture to learn vector representations of nodes and graphs in a supervised, end-to-end …
architecture to learn vector representations of nodes and graphs in a supervised, end-to-end …
[PDF][PDF] Weisfeiler and Leman Go Neural: Higher-Order Graph Neural Networks
C Morris, M Ritzert, M Fey, WL Hamilton, JE Lenssen… - 2019 - cdn.aaai.org
In recent years, graph neural networks (GNNs) have emerged as a powerful neural
architecture to learn vector representations of nodes and graphs in a supervised, end-to-end …
architecture to learn vector representations of nodes and graphs in a supervised, end-to-end …
Weisfeiler and leman go neural: higher-order graph neural networks
C Morris, M Ritzert, M Fey, WL Hamilton… - Proceedings of the …, 2019 - dl.acm.org
In recent years, graph neural networks (GNNs) have emerged as a powerful neural
architecture to learn vector representations of nodes and graphs in a supervised, end-to-end …
architecture to learn vector representations of nodes and graphs in a supervised, end-to-end …
Weisfeiler and Leman Go Neural: Higher-Order Graph Neural Networks
C Morris, M Ritzert, M Fey, WL Hamilton… - Proceedings of the AAAI …, 2019 - aaai.org
In recent years, graph neural networks (GNNs) have emerged as a powerful neural
architecture to learn vector representations of nodes and graphs in a supervised, end-to-end …
architecture to learn vector representations of nodes and graphs in a supervised, end-to-end …