![]() |
COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring. | ![]() |
University of Cambridge > Talks.cam > Artificial Intelligence Research Group Talks (Computer Laboratory) > Global Explainability of GNNs via Logic Combination of Learned Concepts
![]() Global Explainability of GNNs via Logic Combination of Learned ConceptsAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Pietro Lio. https://zoom.us/j/99166955895?pwd=SzI0M3pMVEkvNmw3Q0dqNDVRalZvdz09 While instance-level explanation of GNN is a well-studied problem with plenty of approaches being developed, providing a global explanation for the behavior of a GNN is much less explored, despite its potential in interpretability and debugging. Existing solutions either simply list local explanations for a given class, or generate a synthetic prototypical graph with maximal score for a given class, completely missing any combinatorial aspect that the GNN could have learned. In this work, we propose GLG Explainer (Global Logic-based GNN Explainer), the first Global Explainer capable of generating explanations as arbitrary Boolean combinations of learned graphical concepts. GLG Explainer is a fully differentiable architecture that takes local explanations as inputs and combines them into a logic formula over graphical concepts, represented as clusters of local explanations. Contrary to existing solutions, GLG Explainer provides accurate and human-interpretable global explanations that are aligned with ground-truth explanations (on synthetic data) or match existing domain knowledge (on real-world data). Extracted formulas are faithful to the model predictions, to the point of providing insights into some occasionally incorrect rules learned by the model, making GLG Explainer a promising diagnostic tool for learned GNNs. https://zoom.us/j/99166955895?pwd=SzI0M3pMVEkvNmw3Q0dqNDVRalZvdz09 This talk is part of the Artificial Intelligence Research Group Talks (Computer Laboratory) series. This talk is included in these lists:
Note that ex-directory lists are not shown. |
Other listsexam guideOther talksChristoph Hanhart - TOWARDS A NEW PARADIGM FOR HEAVY-LIGHT MESON SPECTROSCOPY Visions of Tutankhamun: the Modern History of an Ancient King Grand Rounds - Medicine - The Textbook Addisonian? LMB Seminar: Structural basis of how the BIRC6/SMAC complex regulates apoptosis and autophagy Introduction |