PyMDE
swMATH ID: | 40504 |
Software Authors: | Agrawal, Akshay; Ali, Alnur; Boyd, Stephen |
Description: | PyMDE: Minimum-Distortion Embedding. PyMDE is a Python library for computing vector embeddings of items, such as images, biological cells, nodes in a network, or any other type of abstract object. The embeddings are designed to minimally distort relationships between pairs of items, while possibly satisfying some constraints. For more background about the methods that PyMDE uses, please see our monograph Minimum-Distortion Embedding, which introduces a simple but general framework for embedding. |
Homepage: | https://pymde.org |
Source Code: | https://github.com/cvxgrp/pymde |
Dependencies: | Python |
Related Software: | Graph-Bert; ASAP; CoDEx; GraphNAS; Cluster-GCN; GNNAutoScale; LINE; Walklets; GCC; GraphIE; Sub2vec; MixMatch; DeepWalk; CayleyNets; FastGCN; PairNorm; AutoNE; GraphSAINT; PTE; RotatE |
Cited in: | 2 Documents |
Standard Articles
1 Publication describing the Software, including 1 Publication in zbMATH | Year |
---|---|
Minimum-distortion embedding. Zbl 1524.68256 Agrawal, Akshay; Ali, Alnur; Boyd, Stephen |
2021
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all
top 5
Cited by 9 Authors
Cited in 2 Serials
1 | The Journal of Artificial Intelligence Research (JAIR) |
1 | Foundations and Trends in Machine Learning |
Cited in 1 Field
2 | Computer science (68-XX) |