Co-occurring keywords · papers mentioning both
gaussian graphical model
(2)
laplacian spectral constraint
(1)
sparse kolmogorov-arnold network
(1)
3d protein structure invariance
(1)
dihedral angle perturbations
(1)
functional community invariance
(1)
flexibility
(1)
structured graph
(1)
structured graph learning
(1)
block majorization-minimization
(1)
Papers
Deep Clustering Based on Sparse Kolmogorov-Arnold Network and Spectral Constraint
AAAI 2026
Enhancing Graph Contrastive Learning for Protein Graphs from Perspective of Invariance
ICML 2025
Holistic Physics Solver: Learning PDEs in a Unified Spectral-Physical Space
ICML 2025
A Unified Framework for Structured Graph Learning via Spectral Constraints
JMLR 2020
Structured Graph Learning Via Laplacian Spectral Constraints
NeurIPS 2019