Ricci curvature
PulseAugur coverage of Ricci curvature — every cluster mentioning Ricci curvature across labs, papers, and developer communities, ranked by signal.
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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 theory uses complex geometry to analyze neural network optimization
Researchers have developed a new theoretical framework for understanding the optimization landscapes of complex neural networks. This approach utilizes concepts from differential geometry, specifically focusing on Kähle…
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New Neural Tree Collaborative Filtering framework enhances recommender systems
Researchers have introduced Neural Tree Collaborative Filtering (NTCF), a novel framework that reframes graph collaborative filtering (GCF) by treating local neighborhoods as rooted trees. This approach assigns a node-s…
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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 ML frameworks boost protein-ligand binding affinity prediction
Two new machine learning frameworks, RicciBind and CPES, have been introduced for predicting protein-ligand binding affinity, a crucial step in drug discovery. RicciBind utilizes Ricci curvature and optimal transport to…
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New privacy mechanism links geometric analysis, heat diffusion, and DP
Researchers have introduced a new privacy mechanism designed for data residing on Riemannian manifolds. This novel approach establishes connections between geometric analysis, heat diffusion models, and differential pri…