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Found 9 papers, 3 papers with code
The GANfather: Controllable generation of malicious activity to improve defence systems
In the former, our method moves cumulative amounts close to 350 thousand dollars through a network of accounts without being detected by an existing system.
From random-walks to graph-sprints: a low-latency node embedding framework on continuous-time dynamic graphs
We demonstrate that our graph-sprints features, combined with a machine learning classifier, achieve competitive performance (outperforming all baselines for the node classification tasks in five datasets).
Faster Convergence with Lexicase Selection in Tree-based Automated Machine Learning
In many evolutionary computation systems, parent selection methods can affect, among other things, convergence to a solution.
Anti-Money Laundering Alert Optimization Using Machine Learning with Graphs
Money laundering is a global problem that concerns legitimizing proceeds from serious felonies (1. 7-4 trillion euros annually) such as drug dealing, human trafficking, or corruption.
Novel Features for Time Series Analysis: A Complex Networks Approach
Our results are very promising, with network features from different mapping methods capturing different properties of the time series, adding a different and rich feature set to the literature.
Time Series Analysis via Network Science: Concepts and Algorithms
These methods involve transforming an initial time series data set into one or more networks, which can be analyzed in depth to provide insight into the original time series.
Symmetry-induced even/odd parity in charge and heat pumping
It is shown that the presence of discrete symmetries in Floquet systems connected to metallic reservoirs imprints a definite parity on the charge and heat pumping as a function of the reservoir's chemical potential, $\mu$.
Mesoscale and Nanoscale Physics Strongly Correlated Electrons Quantum Physics
GoT-WAVE: Temporal network alignment using graphlet-orbit transitions
Dynamic GDVs (DGDVs) were used as a dynamic NC measure within the first-ever algorithms for GPNA of temporal networks: DynaMAGNA++ and DynaWAVE.
Interaction-tuned Anderson versus Mott localization
Disorder or sufficiently strong interactions can render a metallic state unstable causing it to turn into an insulating one.
Strongly Correlated Electrons Disordered Systems and Neural Networks
