Add resource "A Comprehensive Survey on Graph Neural Networks" Accepted
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Add A Comprehensive Survey on Graph Neural Networks
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- A Comprehensive Survey on Graph Neural Networks
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- Paper
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- 2019-12-04
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- There is an increasing number of applications where data are generated from non-Euclidean domains and are represented as graphs with complex relationships and interdependency between objects. The complexity of graph data has imposed significant challenges on existing machine learning algorithms. Recently, many studies on extending deep learning approaches for graph data have emerged. In this survey, we provide a comprehensive overview of graph neural networks (GNNs) in data mining and machine learning fields.
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- http://arxiv.org/abs/1901.00596
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- ISSN: 2162-237X, 2162-2388
Resource | v1 | current (v1) -
Add Graph convolutional networks (GCN) discussed in A Comprehensive Survey on Graph Neural Networks
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- discussed in
Topic to resource relation | v1