Results 81 to 90 of about 3,765 (220)
Univalent functions defined by Ruscheweyh derivatives
We study some radii problems concerning the integral operator F(z)=γ+1zγ∫°zuγ−1f(u)du for certain classes, namely Kn and Mn(α), of univalent functions defined by Ruscheweyh derivatives. Infact, we obtain the converse of Ruscheweyh's result and improve
S. L. Shukla, Vinod Kumar
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Hadamard Products of Stable Polynomials Are Stable
A real polynomial is said to be (Hurwitz or asymptotically) stable if all its zeros lie in the open left half of the complex plane. The authors show that the Hadamard coefficientwise product of two stable polynomials is again stable, improving upon some known results.
Garloff, Jürgen, Wagner, David G.
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Generating Compressed Counterfactual Hard Negative Samples for Graph Contrastive Learning
ABSTRACT Graph contrastive learning (GCL) relies on acquiring high‐quality positive and negative samples to learn the structural semantics of the input graph. Previous approaches typically sampled negative samples from the same training batch or an irrelevant external graph.
Haoran Yang +7 more
wiley +1 more source
Hadamard products and BPS networks
We study examples of fourth-order Picard-Fuchs operators that are Hadamard products of two second-order Picard-Fuchs operators. Each second-order Picard-Fuchs operator is associated with a family of elliptic curves, and the Hadamard product computes ...
Mohamed Elmi
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Relativity and Hadamard products
A key feature of Hadamard products is used to simplify relativistic matrix derivations.
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On the Hadamard product of inverse M-matrices
I. Schur has shown that the class of positive semidefinite \(n \times n\) matrices is closed under Hadamard multiplication. It is shown that the same holds for the class of inverse \(M\)-matrices if and only if \(n\) is less than 4. Further results concern \textit{R. A. Willoughby}'s inverse \(M\)-matrices [ibid.
Wang, Bo-Ying +2 more
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Robust Partial Multi‐Label Learning Under Dual Noise via Joint Subspace Learning
ABSTRACT Partial Multi‐label Learning (PML) deals with the ambiguity where each instance is annotated with a set of candidate labels, and only a subset of which is valid. While existing PML methods focus primarily on label disambiguation, they often rely on the assumption of a clean feature space.
Yuanjian Zhang +4 more
wiley +1 more source
ANPGT: Towards Adaptive Node Property Extraction and Integration
ABSTRACT Graph transformers (GTs) with elaborate positional/structural encodings (PEs/SEs) have excelled in graph representation learning, especially in graph‐level tasks. However, their potential in large‐scale node classification remains untapped for several reasons: (i) Current PEs/SEs are insufficient in modelling large‐scale real‐world graphs ...
Qin Chen +4 more
wiley +1 more source
A Dynamic Correlation‐Information‐Fusion‐Based Spatiotemporal Network for Traffic Flow Forecasting
ABSTRACT Traffic Flow Forecasting (TFF) is a foundational task in the development of Intelligent Transport Systems (ITSs). The primary challenge is to undertake a comprehensive exploration of the intrinsic dynamic spatiotemporal correlations of the road network, unveiling the long‐term evolutionary traffic trends.
Dawen Xia +6 more
wiley +1 more source
ABSTRACT As one of the important links in energy transition and global energy interconnection, electric vehicles (EVs) are becoming increasingly major research topics in the field of energy. Partial discharge (PD) identification under repetitive impulsive voltages plays a pivotal role in evaluating the health of electric vehicle (EV) motor insulation ...
Li Wang +7 more
wiley +1 more source

