Network representation learning: A survey
With the widespread use of information technologies, information networks are becoming
increasingly popular to capture complex relationships across various disciplines, such as …
increasingly popular to capture complex relationships across various disciplines, such as …
Graph representation learning: a survey
Research on graph representation learning has received great attention in recent years
since most data in real-world applications come in the form of graphs. High-dimensional …
since most data in real-world applications come in the form of graphs. High-dimensional …
Graph embedding techniques, applications, and performance: A survey
Graphs, such as social networks, word co-occurrence networks, and communication
networks, occur naturally in various real-world applications. Analyzing them yields insight …
networks, occur naturally in various real-world applications. Analyzing them yields insight …
Bots increase exposure to negative and inflammatory content in online social systems
Societies are complex systems, which tend to polarize into subgroups of individuals with
dramatically opposite perspectives. This phenomenon is reflected—and often amplified—in …
dramatically opposite perspectives. This phenomenon is reflected—and often amplified—in …
GE-GAN: A novel deep learning framework for road traffic state estimation
D Xu, C Wei, P Peng, Q Xuan, H Guo - Transportation Research Part C …, 2020 - Elsevier
Traffic state estimation is a crucial elemental function in Intelligent Transportation Systems
(ITS). However, the collected traffic state data are often incomplete in the real world. In this …
(ITS). However, the collected traffic state data are often incomplete in the real world. In this …
A survey on controller placement in SDN
In recent years, Software Defined Networking (SDN) has emerged as a pivotal element not
only in data-centers and wide-area networks, but also in next generation networking …
only in data-centers and wide-area networks, but also in next generation networking …
Mining heterogeneous information networks: a structural analysis approach
Most objects and data in the real world are of multiple types, interconnected, forming
complex, heterogeneous but often semi-structured information networks. However, most …
complex, heterogeneous but often semi-structured information networks. However, most …
A tutorial on spectral clustering
U Von Luxburg - Statistics and computing, 2007 - Springer
In recent years, spectral clustering has become one of the most popular modern clustering
algorithms. It is simple to implement, can be solved efficiently by standard linear algebra …
algorithms. It is simple to implement, can be solved efficiently by standard linear algebra …
A survey of clustering data mining techniques
P Berkhin - Grouping multidimensional data: Recent advances in …, 2006 - Springer
Clustering is the division of data into groups of similar objects. In clustering, some details are
disregarded in exchange for data simplification. Clustering can be viewed as a data …
disregarded in exchange for data simplification. Clustering can be viewed as a data …
Text document clustering using spectral clustering algorithm with particle swarm optimization
R Janani, S Vijayarani - Expert Systems with Applications, 2019 - Elsevier
Document clustering is a gathering of textual content documents into groups or clusters. The
main aim is to cluster the documents, which are internally logical but considerably different …
main aim is to cluster the documents, which are internally logical but considerably different …