A Non-negative Factorization Approach to Node Pooling in Graph Convolutional Neural Networks-Reference-Cited by-同舟云学术

A Non-negative Factorization Approach to Node Pooling in Graph Convolutional Neural Networks

Published:2019 Issue: Volume: Page:294-306
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Bacciu Davide,Di Sotto Luigi

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-35166-3_21

Reference32 articles.

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4. Belkin, M., Niyogi, P.: Laplacian eigenmaps and spectral techniques for embedding and clustering. In: Proceedings of the 14th International Conference on Neural Information Processing Systems: Natural and Synthetic, NIPS 2001, pp. 585–591. MIT Press, Cambridge (2001)

5. Bianchi, F.M., Grattarola, D., Livi, L., Alippi, C.: Graph neural networks with convolutional ARMA filters. CoRR abs/1901.01343 (2019)

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