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Found 12 papers, 5 papers with code
Deep Neural Networks via Complex Network Theory: a Perspective
For the novel metrics, in addition to the existing ones, we provide a mathematical formalisation for Fully Connected, AutoEncoder, Convolutional and Recurrent neural networks, of which we vary the activation functions and the number of hidden layers.
The importance of quality in austere times: University competitiveness and grant income
UK science funding agencies significantly reduced numbers of grants and total grant funding in response to austerity, but surprisingly restrictions of science funding were relaxed after the 2015 general election.
Deep Neural Networks as Complex Networks
Deep Neural Networks are, from a physical perspective, graphs whose `links` and `vertices` iteratively process data and solve tasks sub-optimally.
MultiSAGE: a multiplex embedding algorithm for inter-layer link prediction
Here we propose MultiSAGE, a generalization of the GraphSAGE algorithm that allows to embed multiplex networks.
Characterizing Learning Dynamics of Deep Neural Networks via Complex Networks
In this paper, we interpret Deep Neural Networks with Complex Network Theory.
Artificial intelligence applied to bailout decisions in financial systemic risk management
The underlying dynamics is derived from the network of financial institutions linked by mutual exposures, and the negative rewards are associated to the banks' default.
Control technique for synchronization of selected nodes in directed networks
Our proposed method is based on the introduction of distributed controllers that modify the topology of the connections in order to generate outer symmetries in the nodes to be controlled.
Chaotic Dynamics
Interacting discovery processes on complex networks
Innovation is the driving force of human progress.
Physics and Society Social and Information Networks
Unified treatment of synchronization patterns in generalized networks with higher-order, multilayer, and temporal interactions
When describing complex interconnected systems, one often has to go beyond the standard network description to account for generalized interactions.
Adaptation and Self-Organizing Systems Disordered Systems and Neural Networks
Evolutionary dynamics of higher-order interactions in social networks
We live and cooperate in networks.
Physics and Society Social and Information Networks Populations and Evolution
Simplicial models of social contagion
Complex networks have been successfully used to describe the spreading of a disease in populations of interacting individuals.
Physics and Society
The multiplex dependency structure of financial markets
We propose here a multiplex network approach to investigate simultaneously different types of dependency in complex data sets.
Physics and Society Computational Engineering, Finance, and Science Statistical Finance
