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Found 5 papers, 2 papers with code
Graph Learning in 4D: a Quaternion-valued Laplacian to Enhance Spectral GCNs
We introduce QuaterGCN, a spectral Graph Convolutional Network (GCN) with quaternion-valued weights at whose core lies the Quaternionic Laplacian, a quaternion-valued Laplacian matrix by whose proposal we generalize two widely-used Laplacian matrices: the classical Laplacian (defined for undirected graphs) and the complex-valued Sign-Magnetic Laplacian (proposed to handle digraphs with weights of arbitrary sign).
SigMaNet: One Laplacian to Rule Them All
$L^{\sigma}$ is also completely parameter-free, which is not the case of other Laplacian operators such as, e. g., the Magnetic Laplacian.
Towards Self-Adaptive Peer-to-Peer Monitoring for Fog Environments
In such environments, monitoring solutions have to cope with the heterogeneity of the devices and platforms present in the Fog, the limited resources available at the edge of the network, and the high dynamism of the whole Cloud-to-Thing continuum.
ANDREAS: Artificial intelligence traiNing scheDuler foR accElerAted resource clusterS
Artificial Intelligence (AI) and Deep Learning (DL) algorithms are currently applied to a wide range of products and solutions.
Listening to the city, attentively: A Spatio-Temporal Attention Boosted Autoencoder for the Short-Term Flow Prediction Problem
In recent years, studying and predicting alternative mobility (e. g., sharing services) patterns in urban environments has become increasingly important as accurate and timely information on current and future vehicle flows can successfully increase the quality and availability of transportation services.
