https://github.com/sbonner0/unsupervised-graph-embedding
Code for both the IEEE Big Data 2017 Paper: Evaluating the quality of graph embeddings via topological feature reconstruction and the Springer Data Science and Engineering paper: Exploring the Semantic Content of Unsupervised Graph Embeddings: An Empirical Study
https://github.com/sbonner0/unsupervised-graph-embedding
graph-embedding-methods graph-embeddings-evaluation unsupervised-graph-embeddings
Last synced: about 1 year ago
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Code for both the IEEE Big Data 2017 Paper: Evaluating the quality of graph embeddings via topological feature reconstruction and the Springer Data Science and Engineering paper: Exploring the Semantic Content of Unsupervised Graph Embeddings: An Empirical Study
- Host: GitHub
- URL: https://github.com/sbonner0/unsupervised-graph-embedding
- Owner: sbonner0
- License: mit
- Created: 2017-11-07T17:50:36.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2020-10-19T13:55:07.000Z (over 5 years ago)
- Last Synced: 2025-03-25T10:21:43.800Z (about 1 year ago)
- Topics: graph-embedding-methods, graph-embeddings-evaluation, unsupervised-graph-embeddings
- Language: Python
- Homepage:
- Size: 8.79 KB
- Stars: 6
- Watchers: 2
- Forks: 1
- Open Issues: 0