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 …
[HTML][HTML] A comprehensive overview of graph neural network-based approaches to clustering for spatial transcriptomics
Spatial transcriptomics technologies enable researchers to accurately quantify and localize
messenger ribonucleic acid (mRNA) transcripts at a high resolution while preserving their …
messenger ribonucleic acid (mRNA) transcripts at a high resolution while preserving their …
Understand technological innovation investment performance: Evolution of industry-university-research cooperation for technological innovation of lithium-ion storage …
The evolution characteristics of the core network of the patent collaboration network in the
field of lithium battery storage are compared with other fields such as phase change …
field of lithium battery storage are compared with other fields such as phase change …
An improved Louvain algorithm for community detection
J Zhang, J Fei, X Song, J Feng - Mathematical Problems in …, 2021 - Wiley Online Library
Social network analysis has important research significance in sociology, business analysis,
public security, and other fields. The traditional Louvain algorithm is a fast community …
public security, and other fields. The traditional Louvain algorithm is a fast community …
Machine Learning in Tourism: A Brief Overview: Generation of Knowledge from Experience
R Egger - Applied data science in tourism: Interdisciplinary …, 2022 - Springer
In the last few years, a large hype around the topic of Machine Learning (ML) has emerged;
this can be justified thanks to various ML approaches having recently undergone rapid …
this can be justified thanks to various ML approaches having recently undergone rapid …
Rumor detection on social media through mining the social circles with high homogeneity
P Zheng, Z Huang, Y Dou, Y Yan - Information Sciences, 2023 - Elsevier
The massive spread of rumors on social media has become a major global challenge,
increasing the urgent demand for rumor detection. Although social circles are ubiquitous in …
increasing the urgent demand for rumor detection. Although social circles are ubiquitous in …
Scalable community detection via parallel correlation clustering
Graph clustering and community detection are central problems in modern data mining. The
increasing need for analyzing billion-scale data calls for faster and more scalable algorithms …
increasing need for analyzing billion-scale data calls for faster and more scalable algorithms …
A data-driven understanding of left-wing extremists on social media
Social media's role in the spread and evolution of extremism is a focus of intense study.
Online extremists have been involved in the spread of online hate, mis/disinformation, and …
Online extremists have been involved in the spread of online hate, mis/disinformation, and …
A comprehensive review of community detection in graphs
The study of complex networks has significantly advanced our understanding of community
structures which serves as a crucial feature of real-world graphs. Detecting communities in …
structures which serves as a crucial feature of real-world graphs. Detecting communities in …
A review of clique-based overlapping community detection algorithms
Detection of communities is one of the prominent characteristics of vast and complex
networks like social networks, collaborative networks, and web graphs. In the modern era …
networks like social networks, collaborative networks, and web graphs. In the modern era …