| Addressing the impact of localized training data in graph neural networks A Akansha 2023 7th International Conference on Computer Applications in Electrical …, 2023 | 7 | 2023 |
| Over-squashing in graph neural networks: A comprehensive survey S Akansha arXiv preprint arXiv:2308.15568, 2023 | 6 | 2023 |
| Conditional Shift-Robust Conformal Prediction for Graph Neural Network S Akansha arXiv preprint arXiv:2405.11968, 2024 | 2 | 2024 |
| Exploring Chebyshev Polynomial Approximations: Error Estimates for Functions of Bounded Variation S Akansha arXiv preprint arXiv:2404.18723, 2024 | 2 | 2024 |
| Adaptive Pad\'e-Chebyshev Type Approximation of Piecewise Smooth Functions S Akansha, S Baskar arXiv preprint arXiv:2110.07173, 2021 | 1 | 2021 |
| RoCP-GNN: Robust Conformal Prediction for Graph Neural Networks in Node-Classification S Akansha arXiv preprint arXiv:2408.13825, 2024 | | 2024 |
| Piecewise nonlinear approximation for non-smooth functions S Akansha Results in Applied Mathematics 23, 100491, 2024 | | 2024 |
| Mitigating Gibbs phenomenon: A localized Padé-Chebyshev approach and its conservation law applications A Agrawal Results in Nonlinear Analysis 7 (3), 35–46-35–46, 2024 | | 2024 |
| Piecewise Pad\'e-Chebyshev Reconstruction of Bivariate Piecewise Smooth Functions A Singh arXiv preprint arXiv:2109.11436, 2021 | | 2021 |
| Global and Stochastic Analysis Vol. 12 No. 1 (January, 2025) AP SIMRAN, S AKANSHA | | |
| Decay Estimates of Bivariate Chebyshev Coefficients for Functions of Limited Smoothness A Singh Available at SSRN 4461086, 0 | | |
