amarallab / transportation_network_evolution
☆11Updated last year
Alternatives and similar repositories for transportation_network_evolution:
Users that are interested in transportation_network_evolution are comparing it to the libraries listed below
- Urban Dynamics Through the Lens of Human Mobility☆15Updated last year
- The relevant codes of our work "Revealing Structural and Functional Vulnerability of Power Grids to Cascading Failures".☆22Updated 3 years ago
- ☆13Updated 2 years ago
- Network-of-networks modeling approach for critical infrastructure resilience.☆15Updated 4 years ago
- [ECMLPKDD22] MepoGNN: Metapopulation Epidemic Forecasting with Graph Neural Networks☆22Updated last year
- RiccardoSpolaor / Verbal-Explanations-of-Spatio-Temporal-Graph-Neural-Networks-for-Traffic-ForecastingAn eXplainable AI system to elucidate short-term speed forecasts in traffic networks obtained by Spatio-Temporal Graph Neural Networks.☆15Updated 10 months ago
- A meta-population model for COVID19 in China☆12Updated 4 years ago
- Repository of scripts and data for the "Robustness and resilience of complex networks" paper by Oriol Artime, Marco Grassia, Manlio De Do…☆66Updated 2 months ago
- The codes and data of paper "Matrix Factorization for Spatio-Temporal Neural Networks with Applications to Urban Flow Prediction"☆26Updated last year
- [ECML-PKDD2022] EpiGNN: Exploring Spatial Transmission with Graph Neural Network for Regional Epidemic Forecasting☆22Updated 2 years ago
- Uncertainty Quantification for Deep Spatiotemporal Forecasting☆21Updated 4 months ago
- ☆73Updated 11 months ago
- Multistep Traffic Forecasting by Dynamic Graph Convolution: Interpretations of Real-Time Spatial Correlations☆16Updated 6 months ago
- Repository of the paper "Machine learning dismantling and early-warning signals of disintegration in complex systems" by M. Grassia, M. D…☆39Updated 3 years ago
- Algorithm recurrence of a paper, It can simulate cascading faults in interdependent networks and has customized key parameters☆26Updated last week
- This is the official release code of AAAI2023 accepted paper: "Spatial temporal Neural Structural Causal Models for Bike Flow Prediction"☆35Updated last year
- ☆21Updated last year
- Cascading Failures Prediction on Complex Networks☆23Updated 4 years ago
- A human mobility flow-augmented stochastic SEIR-style epidemic modeling framework is developed, which combines with data assimilation and…☆13Updated last year
- Meta Transfer Learning for Lake Temperature Prediction☆20Updated 3 years ago
- ☆24Updated 3 years ago
- This repository documents the data processing and analysis perform on the data to support the findings presented in the article "Measurin…☆14Updated last year
- SATCN for Kriging☆15Updated 2 years ago
- PyTorch implementation of probabilistic deep forecast applied to air quality.☆25Updated 3 years ago
- [ECMLPKDD21] Countrywide Origin-Destination Matrix Prediction and Its Application for COVID-19☆31Updated last year
- Quantile regression neural networks☆16Updated last year
- Papers on Spatial-Temporal Graph Neural Networks☆26Updated 2 years ago
- Code for Multi-graph convolutional network for short-term passenger flow forecasting in urban rail transit☆29Updated 4 years ago
- A Python Library for Machine Learning in Epidemic Data Modeling and Analysis☆34Updated last month