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Found 5 papers, 1 papers with code
Diffusion model for relational inference
Dynamical behaviors of complex interacting systems, including brain activities, financial price movements, and physical collective phenomena, are associated with underlying interactions between the system's components.
Backbone-based Dynamic Graph Spatio-Temporal Network for Epidemic Forecasting
To capture this property, we use adaptive methods to generate static backbone graphs containing the primary information and temporal models to generate dynamic temporal graphs of epidemic data, fusing them to generate a backbone-based dynamic graph.
Dynamical Graph Echo State Networks with Snapshot Merging for Dissemination Process Classification
The Dissemination Process Classification (DPC) is a popular application of temporal graph classification.
Simulation platform for pattern recognition based on reservoir computing with memristor networks
Memristive systems and devices are potentially available for implementing reservoir computing (RC) systems applied to pattern recognition.
Reservoir Computing with Diverse Timescales for Prediction of Multiscale Dynamics
To develop an efficient machine learning method dedicated to modeling and prediction of multiscale dynamics, we propose a reservoir computing (RC) model with diverse timescales by using a recurrent network of heterogeneous leaky integrator (LI) neurons.
