Distributed processing of large-scale graph data has many practical applications and has
been widely studied. In recent years, a lot of distributed graph processing frameworks and …

Air pollution is an urgent global issue with significant implications for the environment and
public health. This study focuses on the daily Air Quality Index (AQI) data from 27 major …

In recent years, designing fairness-aware methods has received much attention in various
domains, including machine learning, natural language processing, and information …

We study networks of communicating learning agents that cooperate to solve a common
nonstochastic bandit problem. Agents use an underlying communication network to get …

Teleost gill mucus has a highly diverse microbiota, which plays an essential role in the host's
fitness and is greatly influenced by the environment. Arctic char (Salvelinus alpinus), a …

This paper develops detailed mathematical statistical theory of a new class of cross-
validation techniques of local linear kernel hazards and their multiplicative bias corrections …

We present the algebraic representation and basic algorithms for MultiAspect Graphs
(MAGs). A MAG is a structure capable of representing multilayer and time-varying networks …

Since today's real-world graphs, such as social network graphs, are evolving all the time, it is
of great importance to perform graph computations and analysis in these dynamic graphs …

With the imminent threat of the energy crises, innovation in energy technologies is
happening world-wide. The aim is to reduce our reliance on fossil fuels. Electric vehicles …

Almost all the natural or human made systems can be understood and controlled using
complex networks. This is a difficult problem due to the very large number of elements in …