Papers by Berthold Reinwald

1 papers
Exploiting Node Content for Multiview Graph Convolutional Network and Adversarial Regularization (2020.coling-main)

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Challenge: Existing graph autoencoders and its variants have been used for node embedding . a new method is proposed to model consistency across different views of networks .
Approach: They propose a network embedding method which enforces latent representations to be consistent across different views of networks by incorporating a multiview adversarial regularization module.
Outcome: The proposed method compares favorably with the state-of-the-art methods on benchmark datasets and on a real-world application.

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