AstraZeneca/awesome-explainable-graph-reasoning
A collection of research papers and software related to explainability in graph machine learning.
This resource helps machine learning researchers and practitioners understand how graph-based AI models make their decisions. It provides a curated collection of research papers and software tools, taking in academic research and open-source code, and giving you insights into the 'why' behind complex graph model predictions. It's designed for those working with or developing graph machine learning applications.
1,985 stars. No commits in the last 6 months.
Use this if you need to understand or implement methods for explaining the behavior and predictions of graph machine learning models.
Not ideal if you are looking for a pre-built, ready-to-deploy explainable AI solution without needing to dive into the underlying research or code.
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Apache-2.0
Last pushed
Apr 04, 2022
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