Cited By
View all- Ma GAhmed NWillke TYu P(2021)Deep graph similarity learning: a surveyData Mining and Knowledge Discovery10.1007/s10618-020-00733-535:3(688-725)Online publication date: 24-Mar-2021
Graph Neural Networks (GNNs) have shown remarkable performance in tackling complex tasks. However, interpreting the decision-making process of GNNs remains a challenge. To address the challenge, we explore representing the behaviour of a GNN in a ...
Graph Neural Network based on edges is introduced in this paper and is used to recognize the English uppercase alphabets treating their corresponding graphs as semigraphs. Graph Neural Network(GNN) is a connectionist model comprising of two feedforward ...
The field of graph neural networks (GNNs) has seen rapid and incredible strides over the recent years. Graph neural networks, also known as deep learning on graphs, graph representation learning, or geometric deep learning, have become one of the fastest-...
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