Different from conventional methods that manually construct static graphs for all modalities, each modality generates a separate graph by adaptive learning, where a function graph and a supervision ...

This paper addresses the crucial challenge of maintaining the directed graph topology in multi-robot systems, particularly when operating under limited field-of-view constraints and with a lack of ...

ParGNN: A Scalable Graph Neural Network Training Framework on multi-GPUs ParGNN is accepted by DAC 2025. ParGNN, an efficient full-batch training system for GNNs, which adopts a profiler-guided ...

Deferred Function: High level of customization, goodby #defines Access material, geometry, object, camera, scene, renderer and more directly from a TSL function. Function calls are only performed at ...

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Stochastic resetting is prevalent in natural and man-made systems, giving rise to a long series of nonequilibrium phenomena. Diffusion with stochastic resetting serves as a paradigmatic model to study ...

ABSTRACT Statistical analysis is considered an important tool for scientific studies, including those on seeds. However, seed scientists and statisticians often disagree on the nature of variables ...