Results 1 to 10 of about 2,478,358 (353)
Local clustering via approximate heat kernel PageRank with subgraph sampling [PDF]
Scientific Reports, 2021 Graph clustering, a fundamental technique in network science for understanding structures in complex systems, presents inherent problems. Though studied extensively in the literature, graph clustering in large systems remains particularly challenging ...
Zhenqi Lu +2 more
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Exact Heat Kernel on a Hypersphere and Its Applications in Kernel SVM [PDF]
Frontiers in Applied Mathematics and Statistics, 2018 Many contemporary statistical learning methods assume a Euclidean feature space. This paper presents a method for defining similarity based on hyperspherical geometry and shows that it often improves the performance of support vector machine compared to ...
Chenchao Zhao +3 more
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Frontiers in Plant Science, 2022 Maize is one of the most important field crops considering its utilization as food, feed, fodder, and biofuel. However, the sustainability of its production is under serious threat of heat and drought stresses, as these stresses could hamper crop growth,
Muhammad Irfan Yousaf +12 more
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Heat kernel methods for Lifshitz theories [PDF]
Journal of High Energy Physics, 2017 We study the one-loop covariant effective action of Lifshitz theories using the heat kernel technique. The characteristic feature of Lifshitz theories is an anisotropic scaling between space and time.
Andrei O. Barvinsky +5 more
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Diameter Estimate in Geometric Flows
Mathematics, 2023 We prove the upper and lower bounds of the diameter of a compact manifold (M,g(t)) with dimRM=n(n≥3) and a family of Riemannian metrics g(t) satisfying some geometric flows. Except for Ricci flow, these flows include List–Ricci flow, harmonic-Ricci flow,
Shouwen Fang, Tao Zheng
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Quantitative Heat-Kernel Estimates for Diffusions with Distributional Drift [PDF]
Potential Analysis, 2020 We consider the stochastic differential equation on ℝ d $\mathbb {R}^{d}$ given by d X t = b ( t , X t ) d t + d B t , $$ \begin{array}{@{}rcl@{}} \mathrm{d} X_{t} = b(t,X_{t}) \mathrm{d} t + \mathrm{d} B_{t}, \end{array} $$ where B is a Brownian motion ...
Nicolas Perkowski, Willem van Zuijlen
semanticscholar +1 more source
Agronomy, 2023 Maize kernel growth is sensitive to heat stress, which is predicted to result in yield loss. However, the response of maize to short-term heat stress during different kernel-growth stages is still not clear.
Wanlu Zhang +10 more
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Pointwise monotonicity of heat kernels [PDF]
Revista Matemática Complutense, 2021 AbstractIn this paper we present an elementary proof of a pointwise radial monotonicity property of heat kernels that is shared by the Euclidean spaces, spheres and hyperbolic spaces. The main result was discovered by Cheeger and Yau in 1981 and rediscovered in special cases during the last few years.
Alonso Orán, Diego +3 more
openaire +7 more sources
Graph Convolutional Networks using Heat Kernel for Semi-supervised Learning [PDF]
International Joint Conference on Artificial Intelligence, 2019 Graph convolutional networks gain remarkable success in semi-supervised learning on graph-structured data. The key to graph-based semisupervised learning is capturing the smoothness of labels or features over nodes exerted by graph structure.
Bingbing Xu +4 more
semanticscholar +1 more source
Heat-dependent postpollination limitations on maize pollen tube growth and kernel sterility.
Plant, Cell and Environment, 2023 Heat stress has a negative impact on pollen development in maize (Zea mays L.) but the postpollination events that determine kernel sterility are less well characterised. The impact of short-term (hours) heat exposure during postpollination was therefore
Yuanyuan Wang +10 more
semanticscholar +1 more source