Explainability on Link Prediction in Heterogeneous Graph #7720
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Hello everyone, I am new to working with graphs and currently conducting research that focuses on applying explainability to link prediction in a heterogeneous graph. Although I have come across several examples, none of them are suitable for my specific case. The result I need to explain is a binary classification rather than a regression, for instance. I would greatly appreciate any advice on how to structure the model to incorporate explainability, or any recommendations for existing notebooks that tackle a similar problem with the same structure I have described. Thank you in advance for your help.
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