BorgwardtLab/ggme
Official repository for the ICLR 2022 paper "Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions" https://openreview.net/forum?id=tBtoZYKd9n
This tool helps machine learning researchers evaluate the performance of different graph generative models. It takes two sets of graphs – one generated by a model and one real-world dataset – and quantifies how similar they are. This allows researchers to understand which models best capture the characteristics of real-world graphs.
No commits in the last 6 months.
Use this if you are developing or comparing machine learning models that generate graphs and need to rigorously assess their quality.
Not ideal if you are looking for a general-purpose graph analysis tool or don't work with graph generative models.
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Language
Python
License
BSD-3-Clause
Category
Last pushed
Jul 05, 2022
Commits (30d)
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