Ollivier-Ricci Curvature-Based Method to Community Detection in Complex Networks
PulseAugur coverage of Ollivier-Ricci Curvature-Based Method to Community Detection in Complex Networks — every cluster mentioning Ollivier-Ricci Curvature-Based Method to Community Detection in Complex Networks across labs, papers, and developer communities, ranked by signal.
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New method drastically speeds up graph curvature analysis
Researchers have developed a new method to efficiently evaluate Ollivier-Ricci curvature on large-scale graphs. This approach bypasses the computationally intensive optimal transport problem by deriving explicit transfe…
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New G^2MLP framework distills graph geometry from GNNs to MLPs
Researchers have developed a new distillation framework called Graph Geometry-aware MLP (G^2MLP) to improve the performance of MLPs when trained using knowledge from Graph Neural Networks (GNNs). Existing methods often …
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New RicciPool method enhances GCNNs using graph curvature
Researchers have introduced RicciPool, a novel graph pooling method designed to enhance the efficiency of Graph Convolutional Neural Networks (GCNNs). Unlike existing methods that primarily focus on topological informat…
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Thesis explores Ollivier-Ricci curvature for graphs and machine learning
This thesis explores the Ollivier-Ricci curvature of metric spaces, building upon the work of Yann Ollivier and optimal transport theory. It details major results connecting this curvature to classical Ricci curvature i…
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New geometric framework analyzes spatiotemporal gene expression networks
Researchers have developed a novel geometric framework for analyzing the spatiotemporal evolution of gene expression networks. This approach uses Gromov--Wasserstein (GW) space to compare network structures across diffe…
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New Entropic Curvature Method Enhances Graph Neural Networks
Researchers have introduced a novel concept called Entropic Curvature to address limitations in Graph Neural Networks (GNNs), specifically the issues of oversmoothing and oversquashing. This new approach extends existin…
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Discrete Ricci curvature offers lightweight protein fold classification
Researchers have developed a novel method for protein fold classification using discrete Ricci curvature on protein contact graphs. This approach generates a lightweight, 22-dimensional feature vector that outperforms l…
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New method offers tighter lower bound for graph curvature calculation
Researchers have developed a new method to establish a tighter lower bound for Ollivier-Ricci curvature (ORC), a measure used to capture geometric information in graphs. This new bound significantly improves upon existi…