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 ...
Join ACRL from 1:00 – 2:00 p.m. Central on Thursday, January 22 for the Online Learning webcast “Making Great Video Tutorials: Best Practices and Practical Planning.” This webinar offers a practical, ...
FinD3 implements a Dual 3D State Space model augmented with a dynamic hypergraph for financial stock prediction. This repo provides the code, data provider utilities, model definitions, experiment ...
Abstract: Hypergraph neural networks (HGNNs) effectively model complex high-order relationships in domains like protein interactions and social networks by connecting multiple vertices through ...
1 School of Computer Engineering, Suzhou Polytechnic University, Suzhou, China 2 College of Science Mathematics and Technology, Wenzhou-Kean University, Wenzhou, China The proliferation of digital ...
Abstract: Hypergraph community detection reveals both mesoscale structures and functional characteristics of real-life hypergraphs. Although many methods have been developed from diverse perspectives, ...
Make sure not to miss this valuable item your first time around. When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works.
Background: Molecular interactions are central to numerous challenges in chemistry and the life sciences. Whether in solute–solvent dissolution, adverse drug–drug interactions, or protein complex ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results