CayleyNet: a multihop WDM-based lightwave network

Autor: K.W. Tang

Publikováno v: INFOCOM

A multihop, wavelength division multiplex (WDM)-based network, CayleyNet, is proposed for the realization of terabit lightwave networks. CayleyNets are attractive virtual topologies because they support the largest number of nodes for four-neighbor c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ed110c9d452eb293e197fada0fc263f9
https://doi.org/10.1109/infcom.1994.337546

When Spectral Domain Meets Spatial Domain in Graph Neural Networks

Autor: Muhammet, Balcilar, Guillaume, Renton, Pierre, Héroux, Benoit, Gaüzère, Sébastien, Adam, Honeine, Paul

Publikováno v: Thirty-seventh International Conference on Machine Learning (ICML 2020)-Workshop on Graph Representation Learning and Beyond (GRL+ 2020)
Thirty-seventh International Conference on Machine Learning (ICML 2020)-Workshop on Graph Representation Learning and Beyond (GRL+ 2020), Jul 2020, Vienna, Austria

International audience; Convolutional Graph Neural Networks (Con-vGNNs) are designed either in the spectral domain or in the spatial domain. In this paper, we provide a theoretical framework to analyze these neural networks, by deriving some equivale

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::c8e772ee4bb089c1e20f45dcfbe673a9
https://hal-normandie-univ.archives-ouvertes.fr/hal-03088374

A comprehensive review of graph convolutional networks: approaches and applications.

Autor: Xu, Xinzheng¹ xxzheng@cumt.edu.cn, Zhao, Xiaoyang¹, Wei, Meng¹, Li, Zhongnian¹

Publikováno v: Electronic Research Archive. 2023, Vol. 31 Issue 7, p1-31. 31p.

A Dual Neighborhood Hypergraph Neural Network for Change Detection in VHR Remote Sensing Images.

Autor: Wu, Junzheng^1,2 (AUTHOR), Fu, Ruigang¹ (AUTHOR), Liu, Qiang² (AUTHOR), Ni, Weiping² (AUTHOR) niweiping@nint.ac.cn, Cheng, Kenan² (AUTHOR), Li, Biao¹ (AUTHOR), Sun, Yuli¹ (AUTHOR)

Publikováno v: Remote Sensing. Feb2023, Vol. 15 Issue 3, p694. 24p.

Decoding Task-Based fMRI Data with Graph Neural Networks, Considering Individual Differences.

Autor: Saeidi, Maham¹ (AUTHOR) msaeidi@knights.ucf.edu, Karwowski, Waldemar¹ (AUTHOR), Farahani, Farzad V.^1,2 (AUTHOR), Fiok, Krzysztof¹ (AUTHOR), Hancock, P. A.³ (AUTHOR), Sawyer, Ben D.¹ (AUTHOR), Christov-Moore, Leonardo⁴ (AUTHOR), Douglas, Pamela K.⁵ (AUTHOR)

Publikováno v: Brain Sciences (2076-3425). Aug2022, Vol. 12 Issue 8, p1094. 19p.