Weisfeiler-Leman hierarchy
PulseAugur coverage of Weisfeiler-Leman hierarchy — every cluster mentioning Weisfeiler-Leman hierarchy across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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New research unifies GNN expressivity and geometry, explores random features
Two new arXiv papers explore the theoretical underpinnings of Graph Neural Networks (GNNs). The first paper introduces a framework using empirical Rademacher complexity to unify GNN expressivity and geometry, offering t…
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Graph Neural Networks Surveyed Across Twelve Domains
A new survey paper details the widespread applications of Graph Neural Networks (GNNs) across various domains, moving beyond their initial niche status. The paper organizes the field by deriving spectral and spatial for…
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New Quantum Graph Neural Network Framework Promises Scalability and Expressivity
Researchers have developed a novel message-passing quantum graph neural network (QGNN) framework designed for scalability and expressivity. This new QGNN is permutation equivariant and can be precisely positioned within…