AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
TL;DR
The approach combines ideas from factual explainability with edge prediction models inspired by link prediction to enhance the quality, robustness, and interpretability of counterfactual explanations while keeping the method computationally tractable.
Counterfactual explanations for graph-structured data seek to determine minimal and realistic modifications required in an input graph to alter a model's prediction to a predefined output. Although counterfactual explainers that support modifying the graph by both adding and removing edges have recently emerged, there...
This work proposes Graph Diffusion Counterfactual Explanation via Inversion (GDCE-I), a discrete denoising diffusion model with a novel discrete inversion scheme that enables distribution-aware edits leveraging the whole domain edit space and qualitatively shows that GDCE-I attains interpretable in-distribution solutio...
This study presents a graph-based explainable artificial intelligence framework for social network analysis, integrating graph neural models with SHAP (Shapley Additive Explanations) and other post-hoc explanation techniques. The framework is evaluated on the Stanford Network Analysis Project (SNAP) Facebook Dataset co...
This work introduces XIGL, an architecture-agnostic human-in-the-loop strategy for removing shortcuts from GNNs, and develops an active learning strategy for prioritizing explanations that are more likely to display shortcut behavior, lowering annotation and cognitive costs.
A novel technique for post-hoc explainability queries in GNNs is introduced by focusing on the semifactual reasoning, and a novel learning architecture for addressing their computation is proposed.
Experiments on synthetic and real-world datasets show that ORExplainer consistently provides more robust explanations across diverse node-level OOD settings, outperforming existing baselines.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.