2504.02782v1 null 2025-04-03 Multi-Head Adaptive Graph Convolution Network for Sparse Point Cloud-Based Human Activity Recognition Vincent Gbouna Zakka et.al. 2504.02778v1 link 2025-04-03 Sharp ...

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Specifically, circuits with a few layers in their structure are simpler to produce. Planar graphs become a framework for these applications. All the abovementioned applications utilize the concept of ...

Abstract: A mixed graph has both directed and undirected edges. We study how to compute a crossing-free drawing of an embedded planar mixed graph, such that it is upward ‘as much as possible’. Roughly ...

The Graph offers access to competitive and cost-efficient decentralized data sets. The network boasts a 99.99% uptime and 24/7 availability. Central to The Graph’s operations are subgraphs, APIs that ...

A secondary purpose of this repository is to provide a generalized graph API that enables implementation of a very wide range of in-memory graph algorithms including basic methods for reading, writing ...

That would be almost impossible to get correct, right? Random number generators (RNG) are hardware devices or software algorithms that spawn a different sequence of numbers (and/or symbols ...

Recent work of Ding and Gwynne has shown how to construct LQG in this phase as a planar random geometry associated with the Gaussian free field, which exhibits “infinite spikes.” In contrast, a number ...

Methods: In this study, a graph-based long short-term memory-convolutional neural ... Finland), consisting of 204 planar gradiometers and 102 magnetometers. The experiments were conducted in a ...