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Found 8 papers, 3 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).
The Internet of Responsibilities-Connecting Human Responsibilities using Big Data and Blockchain
Accountability in the workplace is critically important and remains a challenging problem, especially with respect to workplace safety management.
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.
Using Machine Learning to Automate Mammogram Images Analysis
Early detection of breast cancer in X-ray mammography is believed to have effectively reduced the mortality rate.
Constrained Relational Topic Models
Relational topic models (RTM) have been widely used to discover hidden topics in a collection of networked documents.
Efficient Kernel-based Subsequence Search for User Identification from Walking Activity
This paper presents an efficient approach for subsequence search in data streams.
A Multi-View Sentiment Corpus
Sentiment Analysis is a broad task that involves the analysis of various aspect of the natural language text.
TWINE: A real-time system for TWeet analysis via INformation Extraction
In this paper we present TWINE, a real-time system for the big data analysis and exploration of information extracted from Twitter streams.
