Dynamic graph representation learning with neural networks: A survey
In recent years, Dynamic Graph (DG) representations have been increasingly used for
modeling dynamic systems due to their ability to integrate both topological and temporal …
modeling dynamic systems due to their ability to integrate both topological and temporal …
Hgwavenet: A hyperbolic graph neural network for temporal link prediction
Temporal link prediction, aiming to predict future edges between paired nodes in a dynamic
graph, is of vital importance in diverse applications. However, existing methods are mainly …
graph, is of vital importance in diverse applications. However, existing methods are mainly …
Graph computing systems and partitioning techniques: A survey
Graphs are a tremendously suitable data representations that model the relationships of
entities in many application domains, such as recommendation systems, machine learning …
entities in many application domains, such as recommendation systems, machine learning …
Practice of streaming processing of dynamic graphs: Concepts, models, and systems
Graph processing has become an important part of various areas of computing, including
machine learning, medical applications, social network analysis, computational sciences …
machine learning, medical applications, social network analysis, computational sciences …
Practice of streaming processing of dynamic graphs: Concepts, models, and systems
Graph processing has become an important part of various areas of computing, including
machine learning, medical applications, social network analysis, computational sciences …
machine learning, medical applications, social network analysis, computational sciences …
Efficient data collection and tracking with flying drones
C Caillouet, F Giroire, T Razafindralambo - Ad Hoc Networks, 2019 - Elsevier
Data collection is an important mechanism for wireless sensor networks to be viable. This
paper addresses the Aerial Data Collection Problem (ADCP) from a set of mobile wireless …
paper addresses the Aerial Data Collection Problem (ADCP) from a set of mobile wireless …
Handling of resource allocation in flying ad hoc network through dynamic graph modeling
AS Parihar, SK Chakraborty - Multimedia Tools and Applications, 2022 - Springer
Now a days, Flying ad hoc network (FANET) as a trending wireless classification has a
vibrant area of research. FANET architecture can also be viewed as a special form of a …
vibrant area of research. FANET architecture can also be viewed as a special form of a …
Dyedgegat: Dynamic edge via graph attention for early fault detection in iiot systems
In the Industrial Internet of Things (IIoT), condition monitoring sensor signals from complex
systems often exhibit nonlinear and stochastic spatial-temporal dynamics under varying …
systems often exhibit nonlinear and stochastic spatial-temporal dynamics under varying …
High-order topology-enhanced graph convolutional networks for dynamic graphs
J Zhu, B Li, Z Zhang, L Zhao, H Li - Symmetry, 2022 - mdpi.com
Understanding the evolutionary mechanisms of dynamic graphs is crucial since dynamic is a
basic characteristic of real-world networks. The challenges of modeling dynamic graphs are …
basic characteristic of real-world networks. The challenges of modeling dynamic graphs are …
Encoder-decoder architecture for supervised dynamic graph learning: A survey
In recent years, the prevalent online services generate a sheer volume of user activity data.
Service providers collect these data in order to perform client behavior analysis, and offer …
Service providers collect these data in order to perform client behavior analysis, and offer …