Search Results for author: Burouj Armgaan

Found 2 papers, 1 papers with code

GNNX-BENCH: Unravelling the Utility of Perturbation-based GNN Explainers through In-depth Benchmarking

no code implementations3 Oct 2023 Mert Kosan, Samidha Verma, Burouj Armgaan, Khushbu Pahwa, Ambuj Singh, Sourav Medya, Sayan Ranu

Motivated by this need, we present a benchmarking study on perturbation-based explainability methods for GNNs, aiming to systematically evaluate and compare a wide range of explainability techniques.

Benchmarking counterfactual

Empowering Counterfactual Reasoning over Graph Neural Networks through Inductivity

1 code implementation7 Jun 2023 Samidha Verma, Burouj Armgaan, Sourav Medya, Sayan Ranu

Graph neural networks (GNNs) have various practical applications, such as drug discovery, recommendation engines, and chip design.

counterfactual Counterfactual Explanation +2

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