Abstract: Designing expressive hypergraph kernels that can effectively capture high-order structural information is a fundamental challenge in hypergraph learning. In this paper, we propose a novel ...
A new technical paper titled “A Case for Hypergraphs to Model and Map SNNs on Neuromorphic Hardware” was published by researchers at Politecnico di Milano. “Executing Spiking Neural Networks (SNNs) on ...
Altair, based in Troy, Michigan, USA, has announced updates to its HyperWorks software. HyperWorks 2026 targets accelerated development and improved product performance via computer-aided engineering ...
"HyperWorks 2026 exemplifies how Altair and Siemens are driving the future of simulation and empowering engineers to design smarter, faster, and with greater confidence in real-world outcomes by ...
Latest release enables faster, more confident design decisions at scale with accelerated simulation, AI-powered, real-time feedback, and GPU-accelerated reduced order modeling "HyperWorks 2026 ...
Latest release enables faster, more confident design decisions at scale with accelerated simulation, AI-powered, real-time feedback, and GPU-accelerated reduced order modeling JetZero, a pioneering ...
"HyperWorks 2026 exemplifies how Altair and Siemens are driving the future of simulation and empowering engineers to design smarter, faster, and with greater confidence in real-world outcomes by ...
Abstract: Hypergraph community detection reveals both mesoscale structures and functional characteristics of real-life hypergraphs. Although many methods have been developed from diverse perspectives, ...
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