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Oct 30, 2020 · In this paper, we provide a theory of using graph neural networks (GNNs) for multi-node representation learning (where we are interested in ...

Graph neural network (GNN) is a type of neural network used to analyze graph-structured data. Here's an introduction for GNNs, their types and how to use ...

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Sep 2, 2021 · A GNN is an optimizable transformation on all attributes of the graph (nodes, edges, global-context) that preserves graph symmetries ( ...

Mar 14, 2021 · In general, Graph Neural Networks (GNN) refer to the general concept of applying neural networks (NNs) on graphs. In a previous article, ...

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Survey papers · Introduction to Graph Neural Networks. · Graph Neural Networks: A Review of Methods and Applications. · A Comprehensive Survey on Graph Neural ...