A survey of distributed graph algorithms on massive graphs
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 …
been widely studied. In recent years, a lot of distributed graph processing frameworks and …
Fairsna: Algorithmic fairness in social network analysis
In recent years, designing fairness-aware methods has received much attention in various
domains, including machine learning, natural language processing, and information …
domains, including machine learning, natural language processing, and information …
Statistical analysis of the regional air quality index of Yangtze River Delta based on complex network theory
JB Liu, YQ Zheng, CC Lee - Applied Energy, 2024 - Elsevier
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 …
public health. This study focuses on the daily Air Quality Index (AQI) data from 27 major …
Delay and cooperation in nonstochastic bandits
N Cesa-Bianchi, C Gentile… - … on Learning Theory, 2016 - proceedings.mlr.press
We study networks of communicating learning agents that cooperate to solve a common
nonstochastic bandit problem. Agents use an underlying communication network to get …
nonstochastic bandit problem. Agents use an underlying communication network to get …
Delay and cooperation in nonstochastic bandits
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 …
validation techniques of local linear kernel hazards and their multiplicative bias corrections …
On the evolution of AI and machine learning: Towards measuring and understanding impact, influence, and leadership at premier AI conferences
Artificial Intelligence is now recognized as a general-purpose technology with ample impact
on human life. In this work, we aim to understand the evolution of AI and Machine learning …
on human life. In this work, we aim to understand the evolution of AI and Machine learning …
MultiAspect Graphs: Algebraic representation and algorithms
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 …
(MAGs). A MAG is a structure capable of representing multilayer and time-varying networks …
Exploring technological solutions for onboard hydrogen storage systems through a heterogeneous knowledge network: From current state to future research …
X Shi, L Cai, Z Li, Y Cui - Frontiers in Energy Research, 2022 - frontiersin.org
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 …
happening world-wide. The aim is to reduce our reliance on fossil fuels. Electric vehicles …
Decentralized dynamic understanding of hidden relations in complex networks
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 …
complex networks. This is a difficult problem due to the very large number of elements in …
Efficient computation of distance labeling for decremental updates in large dynamic graphs
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 …
of great importance to perform graph computations and analysis in these dynamic graphs …