Symbolic Hyperdimensional Vectors with Sparse Graph Convolutional Neural Networks-Reference-Cited by-同舟云学术

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Symbolic Hyperdimensional Vectors with Sparse Graph Convolutional Neural Networks

Published:2022-07-18 Issue: Volume: Page:
ISSN:
Container-title:2022 International Joint Conference on Neural Networks (IJCNN)
language:
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Author:

Cornell Filip¹,Karlgren Jussi²^ORCID,Animesh ³,Girdzijauskas Sarunas⁴

Affiliation:

1. School of Electrical Engineering and Computer Science KTH Royal Institute of Technology & Gavagai,Stockholm,Sweden

2. Gavagai,Stockholm,Sweden

3. Indian Institute of Technology, Kharagpur,Centre of Excellence in Artificial Intelligence,Kharagpur,India

4. School of Electrical Engineering and Computer Science KTH Royal Institute of Technology,Stockholm,Sweden

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9891857/9889787/09892300.pdf?arnumber=9892300

Reference39 articles.

1. The use of the area under the ROC curve in the evaluation of machine learning algorithms

2. Variational graph auto-encoders;kipf;Workshop on Bayesian Deep Learning NIPS,0

3. Stochastic optimization;glynn;Published as a conference paper at the 3rd International Conference for Learning Representations,2015

4. CayleyNets: Graph Convolutional Neural Networks With Complex Rational Spectral Filters

5. Revisiting semi-supervised learning with graph embeddings;yang;International Conference on Machine Learning,0

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