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07/13/2023
GRAN is superior to GraphRNN: node orderings, kernel- and graph embeddings-based metrics for graph generators
A wide variety of generative models for graphs have been proposed. They ...
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11/12/2021
deepstruct – linking deep learning and graph theory
deepstruct connects deep learning models and graph theory such that diff...
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07/27/2021
Experiments on Properties of Hidden Structures of Sparse Neural Networks
Sparsity in the structure of Neural Networks can lead to less energy con...
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06/07/2020
Deep Graph Generators
Learning distributions of graphs can be used for automatic drug discover...
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10/16/2019
Structural Analysis of Sparse Neural Networks
Sparse Neural Networks regained attention due to their potential for mat...
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04/17/2019
