3 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.LG2024★ 1 cited
Iterative Graph Neural Network Enhancement via Frequent Subgraph Mining of Explanations
Harish G. Naik, Jan Polster, Raj Shekhar +2
We formulate an XAI-based model improvement approach for Graph Neural Networks (GNNs) for node classification, called Explanation Enhanced Graph Learning (EEGL). The goal is to imp…
quant-ph2022★ 3 cited
Financial Index Tracking via Quantum Computing with Cardinality Constraints
Samuel Palmer, Konstantinos Karagiannis, Adam Florence +4
In this work, we demonstrate how to apply non-linear cardinality constraints, important for real-world asset management, to quantum portfolio optimization. This enables us to tackl…
cs.LG2020
Explanation from Specification
Harish Naik, György Turán
Explainable components in XAI algorithms often come from a familiar set of models, such as linear models or decision trees. We formulate an approach where the type of explanation p…