research
∙
01/04/2021
A Survey on Embedding Dynamic Graphs
Embedding static graphs in low-dimensional vector spaces plays a key rol...
share
research
∙
11/27/2020
Efficient Information Diffusion in Time-Varying Graphs through Deep Reinforcement Learning
Network seeding for efficient information diffusion over time-varying gr...
research
∙
09/23/2020
Emergence of complex data from simple local rules in a network game
As one of the main subjects of investigation in data science, network sc...
research
∙
09/12/2020
An Algorithmic Information Distortion in Multidimensional Networks
Network complexity, network information content analysis, and lossless c...
research
∙
09/02/2020
On the existence of hidden machines in computational time hierarchies
Challenging the standard notion of totality in computable functions, one...
research
∙
06/29/2020
Approximating Network Centrality Measures Using Node Embedding and Machine Learning
Analyzing and extracting useful information from real-world complex netw...
research
∙
05/22/2020
DJEnsemble: On the Selection of a Disjoint Ensemble of Deep Learning Black-Box Spatio-temporal Models
In this paper, we present a cost-based approach for the automatic select...
research
∙
05/13/2019
Transtemporal edges and crosslayer edges in incompressible high-order networks
This work presents some outcomes of a theoretical investigation of incom...
research
∙
04/08/2019
Learning the undecidable from networked systems
This article presents a theoretical investigation of computation beyond ...
research
∙
12/04/2018
On incompressible high order networks
This work presents a theoretical investigation of incompressible high or...
research
∙
10/27/2018
An algorithmically random family of MultiAspect Graphs and its topological properties
This article presents a theoretical investigation of incompressibility a...
research
∙
09/29/2018
