Results 51 to 60 of about 11,230,345 (378)
Providing SSPCO Algorithm to Construct Static Protein-Protein Interaction (PPI) Networks [PDF]
Protein-Protein Inter-action Networks are dynamic in reality; i.e. Inter-actions among different proteins may be ineffective in different circumstances and times.
Elham Azarm+2 more
doaj +1 more source
CONTROLLING NETWORK DYNAMICS [PDF]
Network science has experienced unprecedented rapid development in the past two decades. The network perspective has also been widely applied to explore various complex systems in great depth. In the first decade, fundamental characteristics of complex network structure, such as the small-worldness, scale-freeness, and modularity, of various complex ...
Yang-Yu Liu, Yang-Yu Liu, Aming Li
openaire +3 more sources
NetWalk: A Flexible Deep Embedding Approach for Anomaly Detection in Dynamic Networks
Massive and dynamic networks arise in many practical applications such as social media, security and public health. Given an evolutionary network, it is crucial to detect structural anomalies, such as vertices and edges whose "behaviors'' deviate from ...
Wenchao Yu+5 more
semanticscholar +1 more source
Networks, topology and dynamics [PDF]
Interest in network analysis has grown in recent years. Many social, economic and financial systems with large numbers of interacting agents can be conveniently described by a network. In the last decade, new theories have been developed to highlight the topological properties of network architectures, despite their apparent randomness.
Torriero, Anna, Stefani, Silvana
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Synaptic energy drives the information processing mechanisms in spiking neural networks
Flow of energy and free energy minimization underpins almost every aspect of naturally occurring physical mechanisms. Inspired by this fact this work establishes an energy-based framework that spans the multi-scale range of biological neural systems and ...
Karim El Laithy, Martin Bogdan
doaj +1 more source
Revealing the hidden structure of dynamic ecological networks [PDF]
In ecology, recent technological advances and long-term data studies now provide longitudinal interaction data (e.g. between individuals or species). Most often, time is the parameter along which interactions evolve but any other one-dimensional gradient
Vincent Miele, Catherine Matias
doaj +1 more source
Dynamic Slimmable Network [PDF]
Accepted to CVPR 2021 as an Oral ...
Xiaodan Liang+5 more
openaire +3 more sources
TIMERS: Error-Bounded SVD Restart on Dynamic Networks [PDF]
Singular Value Decomposition (SVD) is a popular approach in various network applications, such as link prediction and network parameter characterization.
Ziwei Zhang+4 more
semanticscholar +1 more source
Probably one of the most characteristic features of a living system is its continual propensity to change as it juggles the demands of survival with the need to replicate. Internally these adjustments are manifest as changes in metabolite, protein, and gene activities.
openaire +2 more sources
Structurally dynamic spin market networks [PDF]
The agent-based model of stock price dynamics on a directed evolving complex network is suggested and studied by direct simulation. The stationary regime is maintained as a result of the balance between the extremal dynamics, adaptivity of strategic ...
Cont R.+7 more
core +2 more sources