no code implementations • 3 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.
1 code implementation • 7 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.