he-h / COVID-Mobility-Network-AnalysisLinks
This repository contains the code for the paper "Percolation of temporal hierarchical mobility networks during COVID-19".
☆13Updated last year
Alternatives and similar repositories for COVID-Mobility-Network-Analysis
Users that are interested in COVID-Mobility-Network-Analysis are comparing it to the libraries listed below
Sorting:
- [ECMLPKDD22] MepoGNN: Metapopulation Epidemic Forecasting with Graph Neural Networks☆30Updated 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…☆94Updated 4 months ago
- ☆24Updated 2 years ago
- ☆12Updated 3 years ago
- Multiscale Dynamic Human Mobility Flow Data in the U.S. during the COVID-19 epidemic☆151Updated 2 years ago
- Probabilistic generative model that incorporates both the topology of interactions and node attributes to extract overlapping communities…☆45Updated 2 years ago
- ☆24Updated 4 years ago
- Urban Dynamics Through the Lens of Human Mobility☆17Updated 2 years ago
- ☆17Updated 2 years ago
- [TKDE 2021 Paper] DeepCrowd: A Deep Model for Large-Scale Citywide Crowd Density and Flow Prediction☆16Updated 2 years ago
- [KDD 2024] Papers about deep learning in epidemic modeling.☆65Updated last year
- The original library for analyzing multilayer networks.☆156Updated last year
- Repository of the paper "Machine learning dismantling and early-warning signals of disintegration in complex systems" by M. Grassia, M. D…☆44Updated 4 years ago
- ☆145Updated 3 years ago
- ☆35Updated 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.☆24Updated last year
- [ECMLPKDD21] Countrywide Origin-Destination Matrix Prediction and Its Application for COVID-19☆29Updated 2 years ago
- a PyTorch implementation of the paper "Deep Gravity: enhancing mobility flows generation with deep neural networks and geographic informa…☆113Updated 4 years ago
- ☆10Updated 9 months ago
- [ECML-PKDD2022] EpiGNN: Exploring Spatial Transmission with Graph Neural Network for Regional Epidemic Forecasting☆29Updated 3 years ago
- A Python Library for Machine Learning in Epidemic Data Modeling and Analysis☆62Updated 4 months ago
- ☆125Updated 2 years ago
- ☆12Updated 4 years ago
- Predicting COVID-19 pandemic by spatio-temporal graph neural networks https://arxiv.org/abs/2305.07731☆12Updated 2 years ago
- ☆24Updated 3 years ago
- This repo contains the codes and data for our Nature Communications paper: Deep learning resilience inference for complex networked syste…☆60Updated last year
- The official implementation of the manuscript Learning the complexity of urban mobility with deep generative collaboration network.☆16Updated 2 years ago
- An Open Source Spatio-Temporal Prediction Package☆220Updated last year
- A Data-Driven Graph Generative Model for Temporal Interaction Networks☆36Updated 3 years ago
- ☆85Updated 4 years ago