Zobrazeno 1 - 10
of 559 000
pro vyhledávání: '"Link P"'
This paper explores the ability of Graph Neural Networks (GNNs) in learning various forms of information for link prediction, alongside a brief review of existing link prediction methods. Our analysis reveals that GNNs cannot effectively learn struct
Externí odkaz:
http://arxiv.org/abs/2411.14711
High-speed serial links are fundamental to energy-efficient and high-performance computing systems such as artificial intelligence, 5G mobile and automotive, enabling low-latency and high-bandwidth communication. Transmitters (TXs) within these links
Externí odkaz:
http://arxiv.org/abs/2411.11699
Autor:
Rosani, Matteo, Cena, Gianluca, Cavalcanti, Dave, Frascolla, Valerio, Marchetto, Guido, Scanzio, Stefano
Publikováno v:
20th IEEE International Conference on Factory Communication Systems (WFCS 2024)
Multi-Link Operation (MLO) in Wi-Fi 7 is expected to tangibly boost throughput while lowering transmission latency at the same time. This is very relevant in industrial scenarios and makes MLO suitable, e.g., to support seamless device mobility. Bene
Externí odkaz:
http://arxiv.org/abs/2411.12077
Publikováno v:
IEEE Transactions on Network Science and Engineering, 2025
Low earth orbit (LEO) satellite networks have the potential to provide low-latency communication with global coverage. To unleash this potential, it is crucial to achieve efficient packet delivery. In this paper, we propose a Link-identified Routing
Externí odkaz:
http://arxiv.org/abs/2411.10926
Given any link $L\subseteq S^3$, we show that it is possible to embed an unknot $U$ in its complement so that the link $L\cup U$ satisfies the Meridional Rank Conjecture (MRC). The bridge numbers in our construction fit into the equality $\beta(L\cup
Externí odkaz:
http://arxiv.org/abs/2411.10642
A method for measuring the electrical connectivity between parts of a rectangular superconductor was developed for weak links making an arbitrary angle with the long side of the sample. The method is based on magneto-optical observation of characteri
Externí odkaz:
http://arxiv.org/abs/2411.08649
Synthetic active collectives, composed of many nonliving individuals capable of cooperative changes in group shape and dynamics, hold promise for practical applications and for the elucidation of guiding principles of natural collectives. However, th
Externí odkaz:
http://arxiv.org/abs/2411.08163
Autor:
Xing, Jinming, Xing, Ruilin
Link prediction is crucial for understanding complex networks but traditional Graph Neural Networks (GNNs) often rely on random negative sampling, leading to suboptimal performance. This paper introduces Fuzzy Graph Attention Networks (FGAT), a novel
Externí odkaz:
http://arxiv.org/abs/2411.07482
Autor:
Liu, Zhiqiang, Chen, Mingyang, Hua, Yin, Chen, Zhuo, Liu, Ziqi, Liang, Lei, Chen, Huajun, Zhang, Wen
Beyond-triple fact representations including hyper-relational facts with auxiliary key-value pairs, temporal facts with additional timestamps, and nested facts implying relationships between facts, are gaining significant attention. However, existing
Externí odkaz:
http://arxiv.org/abs/2411.07019
Autor:
Laber, Eduardo Sany, Bastista, Miguel
Average-link is widely recognized as one of the most popular and effective methods for building hierarchical agglomerative clustering. The available theoretical analyses show that this method has a much better approximation than other popular heurist
Externí odkaz:
http://arxiv.org/abs/2411.05097