1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.AI2026
Probabilistic Abstract Interpretation on Neural Networks via Grids Approximation
Zhuofan Zhang, Herbert Wiklicky
Probabilistic abstract interpretation is a theory used to extract particular properties of a computer program when it is infeasible to test every single inputs. In this paper we ap…
cs.LG2024★ 1 cited
Rethinking Structure Learning For Graph Neural Networks
Yilun Zheng, Zhuofan Zhang, Ziming Wang +4
To improve the performance of Graph Neural Networks (GNNs), Graph Structure Learning (GSL) has been extensively applied to reconstruct or refine original graph structures, effectiv…