amarallab / transportation_network_evolutionLinks
☆11Updated 2 years ago
Alternatives and similar repositories for transportation_network_evolution
Users that are interested in transportation_network_evolution are comparing it to the libraries listed below
Sorting:
- Urban Dynamics Through the Lens of Human Mobility☆17Updated 2 years ago
- [ECMLPKDD22] MepoGNN: Metapopulation Epidemic Forecasting with Graph Neural Networks☆30Updated 2 years ago
- ☆123Updated 2 years ago
- [KDD 2024] Papers about deep learning in epidemic modeling.☆60Updated last year
- A meta-population model for COVID19 in China☆11Updated 5 years ago
- KDD'23 --- Graph Neural Processes for Spatio-Temporal Extrapolation☆35Updated 2 years ago
- ☆80Updated last year
- WWW23-Learning Social Meta-knowledge for Nowcasting Human Mobility in Disaster☆17Updated 2 years ago
- Repository of scripts and data for the "Robustness and resilience of complex networks" paper by Oriol Artime, Marco Grassia, Manlio De Do…☆85Updated 2 weeks ago
- PM2.5-GNN: A Domain Knowledge Enhanced Graph Neural Network For PM2.5 Forecasting☆202Updated 4 months ago
- a repository for DomiRank along with some code to do efficient node removals and largest-connected-component sampling of massive networks☆51Updated 3 months ago
- [ECMLPKDD21] Countrywide Origin-Destination Matrix Prediction and Its Application for COVID-19☆30Updated 2 years ago
- a PyTorch implementation of the paper "Deep Gravity: enhancing mobility flows generation with deep neural networks and geographic informa…☆106Updated 3 years 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.☆20Updated last year
- Creating an Adjacency Matrix Using the Dijkstra Algorithm for Graph Convolutional Networks GCNs☆25Updated last year
- ☆143Updated 3 years ago
- ☆22Updated 2 years ago
- A human mobility flow-augmented stochastic SEIR-style epidemic modeling framework is developed, which combines with data assimilation and…☆14Updated 2 years ago
- ☆22Updated last year
- A Python Library for Machine Learning in Epidemic Data Modeling and Analysis☆52Updated last month
- In this work, we examine the resilience of two complex network types (Erdos Renyi, and Power-Law/Scale-free) to potential delivered attac…☆13Updated 4 years ago
- PyTorch implementation of probabilistic deep forecast applied to air quality.☆26Updated 3 years ago
- Code accompanying our NeurIPS 2022 traffic4cast challenge☆79Updated 2 years ago
- [ECML-PKDD2022] EpiGNN: Exploring Spatial Transmission with Graph Neural Network for Regional Epidemic Forecasting☆27Updated 2 years ago
- The official implementation of the manuscript Learning the complexity of urban mobility with deep generative collaboration network.☆15Updated last year
- Code of “STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction”.☆70Updated 2 months ago
- The repo for the ITSC 2022 paper "Forecasting Regional Multimodal Transportation Demand with Graph Neural Networks: An Open Dataset"☆22Updated 2 years ago
- Discovering dynamic patterns from spatiotemporal data with time-varying low-rank autoregression. (IEEE TKDE'24)☆23Updated 9 months ago
- Iterative heuristics for endogenous spatial regimes delineation (IJGIS 2023)☆10Updated 9 months ago
- Transportation data online prediction☆50Updated 4 years ago