From the 1 of 3 linked papers with an AI index.
3 papers
cs.LG2026
Schreier-Coset Graph Rewiring
Aryan Mishra, Randy Martinez, Lizhen Lin
The paper proposes Schreier-Coset Graph Rewiring, a group‑theoretic method that augments a graph with a Schreier‑Coset graph to reduce over‑squashing in graph neural networks while…
stat.ML2025
Posterior Contraction for Sparse Neural Networks in Besov Spaces with Intrinsic Dimensionality
Kyeongwon Lee, Lizhen Lin, Jaewoo Park +1
This work establishes that sparse Bayesian neural networks achieve optimal posterior contraction rates over anisotropic Besov spaces and their hierarchical compositions. These stru…
cs.LG2025
Schreier-Coset Graph Propagation
Aryan Mishra, Lizhen Lin
Graph Neural Networks (GNNs) offer a principled framework for learning over graph-structured data, yet their expressive capacity is often hindered by over-squashing, wherein inform…