Abstract: This paper proposes an effective approach for sampling graph signals under the subspace prior. Unlike conventional methods that assume bandlimited signals, our method, based on generalized ...

Abstract: A community-imbalanced graph refers to a graph containing multiple communities with large differences in node and edge scales. Graph sampling is a widely used graph reduction technique to ...

Institute of Theoretical Informatics, Karlsruhe Institute of Technology (KIT), Karlsruhe 76131, Germany Institute of Nanotechnology, Karlsruhe Institute of Technology (KIT), Eggenstein-Leopoldshafen ...

ABSTRACT: This study investigates the knowledge and practices of healthcare waste management (HCWM) among healthcare workers (HCWs) in Maiduguri Metropolis, Borno State, Nigeria. Using a ...

ABSTRACT: This study has examined the extent to which effective time management could result in improved quality of learning among employed university students. Based on quantitative research design, ...

Fresh fruit, bacon and eggs, a super-sized Slushie, or discounted gas? What floats your boat when it comes to convenience store superiority? That market is nose-to-nose competitive, but it’s not ...

Royalty-free licenses let you pay once to use copyrighted images and video clips in personal and commercial projects on an ongoing basis without requiring additional payments each time you use that ...

Quantum optics, which encodes information in the states of light, is privileged to havecomplexity-theoretic evidence supporting a scheme for quantum advantage that is native tothe platform – boson ...

[ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive Learning Method).