amarallab / transportation_network_evolution
☆11Updated last year
Related projects ⓘ
Alternatives and complementary repositories for transportation_network_evolution
- Urban Dynamics Through the Lens of Human Mobility☆14Updated last year
- ☆19Updated last year
- A human mobility flow-augmented stochastic SEIR-style epidemic modeling framework is developed, which combines with data assimilation and…☆13Updated last year
- Network-of-networks modeling approach for critical infrastructure resilience.☆15Updated 4 years ago
- WWW23-Learning Social Meta-knowledge for Nowcasting Human Mobility in Disaster☆15Updated last year
- Multistep Traffic Forecasting by Dynamic Graph Convolution: Interpretations of Real-Time Spatial Correlations☆16Updated 4 months ago
- ☆12Updated 11 months ago
- 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.☆12Updated 8 months ago
- A meta-population model for COVID19 in China☆12Updated 4 years ago
- [TKDE 2021 Paper] DeepCrowd: A Deep Model for Large-Scale Citywide Crowd Density and Flow Prediction☆14Updated 10 months ago
- Repository of the paper "Machine learning dismantling and early-warning signals of disintegration in complex systems" by M. Grassia, M. D…☆35Updated 3 years ago
- [ECMLPKDD22] MepoGNN: Metapopulation Epidemic Forecasting with Graph Neural Networks☆20Updated last year
- Creating an Adjacency Matrix Using the Dijkstra Algorithm for Graph Convolutional Networks GCNs☆18Updated 7 months ago
- [ECMLPKDD21] Countrywide Origin-Destination Matrix Prediction and Its Application for COVID-19☆28Updated last year
- Multi-sensor traffic flow forecasting.☆12Updated 2 years ago
- a PyTorch implementation of the paper "Deep Gravity: enhancing mobility flows generation with deep neural networks and geographic informa…☆84Updated 2 years ago
- ☆70Updated 9 months ago
- ☆17Updated last year
- Code for our paper "Temporal Graph Neural Networks for Irregular Data"☆17Updated last year
- Iterative heuristics for endogenous spatial regimes delineation☆10Updated 3 months ago
- Algorithm recurrence of a paper, It can simulate cascading faults in interdependent networks and has customized key parameters☆25Updated last year
- ☆12Updated 2 years ago
- ☆13Updated 2 years ago
- ☆110Updated last year
- This is the official release code of AAAI2023 accepted paper: "Spatial temporal Neural Structural Causal Models for Bike Flow Prediction"☆34Updated last year
- Uncertainty Quantification for Deep Spatiotemporal Forecasting☆21Updated 2 months ago
- ☆12Updated 11 months ago
- KDD'23 --- Graph Neural Processes for Spatio-Temporal Extrapolation☆32Updated last year
- Code accompanying our NeurIPS 2022 traffic4cast challenge☆73Updated last year
- Repository of scripts and data for the "Robustness and resilience of complex networks" paper by Oriol Artime, Marco Grassia, Manlio De Do…☆61Updated 3 weeks ago