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graph-regression

A comprehensive research platform for Graph Neural Networks (GNNs) featuring 10+ applications including node and graph classification, link prediction, community detection, anomaly detection, and ...
GitHub

graph-regression

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JSTOR Daily

Chain graph models of multivariate regression type for categorical data

We discuss a class of chain graph models for categorical variables defined by what we call a multivariate regression chain graph Markov property. First, the set of local independencies of these models ...
IEEE

Bayesian Ridge Regression-Based Graph Injection Attack on IIoT

Abstract: The systems within the Industrial Internet of Things (IIoT) have complex structures and non-Euclidean data, which are challenging to manage. Due to the advantages of graph neural networks ...
IEEE

Graph Convolutional Regression Networks for Quantitative Precipitation Estimation

Abstract: Accurate and high-resolution quantitative precipitation estimation (QPE) plays a crucial role in meteorology and hydrology. However, for acquiring a more accurate QPE, how to depict the ...