csjtx1021 / neural_ode_processes_for_network_dynamics-masterLinks
Neural ODE Processes for Network Dynamics (NDP4ND), a new class of stochastic processes governed by stochastic data-adaptive network dynamics, is to overcome the fundamental challenge of learning accurate network dynamics with sparse, irregularly-sampled, partial, and noisy observations.
☆14Updated 7 months ago
Alternatives and similar repositories for neural_ode_processes_for_network_dynamics-master
Users that are interested in neural_ode_processes_for_network_dynamics-master are comparing it to the libraries listed below
Sorting:
- [KDD 2024] Papers about deep learning in epidemic modeling.☆59Updated 10 months ago
- Code for the TMLR 2023 paper "GRAM-ODE: Graph-based Multi-ODE Neural Networks for Spatio-Temporal Traffic Forecasting"☆18Updated last year
- [ECMLPKDD22] MepoGNN: Metapopulation Epidemic Forecasting with Graph Neural Networks☆29Updated 2 years ago
- ☆10Updated last year
- Spatial-Temporal Graph ODE Neural Network☆114Updated 3 years ago
- A Python Library for Machine Learning in Epidemic Data Modeling and Analysis☆50Updated 2 weeks ago
- An awesome collection of causality-inspired graph neural networks.☆82Updated 8 months ago
- Neural Dynamics on Complex Networks☆53Updated 4 years ago
- Automated Discovery of Interactions and Dynamics for Large Networked Dynamical Systems☆16Updated 4 years ago
- ☆36Updated 3 years ago
- [TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".☆84Updated 2 years ago
- ☆25Updated 3 years ago
- Paper list on GNNs + Differential Equations (ODE, PDE, SDE)☆34Updated 2 months ago
- Repository of scripts and data for the "Robustness and resilience of complex networks" paper by Oriol Artime, Marco Grassia, Manlio De Do…☆84Updated last month
- This repo contains the codes and data for our Nature Communications paper: Deep learning resilience inference for complex networked syste…☆53Updated 9 months ago
- Predicting COVID-19 pandemic by spatio-temporal graph neural networks https://arxiv.org/abs/2305.07731☆12Updated last year
- AAAI23-Directed Acyclic Graph Structure Learning from Dynamic Graphs☆10Updated 2 years ago
- Higher-order Granger reservoir computing☆23Updated 7 months ago
- Official repository for the paper "Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations" (NeurIPS 202…☆59Updated 2 years ago
- Source code of implementing spatial-temporal zero-inflated negative binomial network for trip demand prediction☆25Updated 3 years ago
- WWW23-Learning Social Meta-knowledge for Nowcasting Human Mobility in Disaster☆17Updated 2 years ago
- Code source for Graph Transfer Learning project developed by Northeastern University's SPIRAL research group☆9Updated 3 years ago
- Official repository for the paper "Scalable Spatiotemporal Graph Neural Networks" (AAAI 2023)☆49Updated last year
- Spatio-Temporal Prediction Paper List☆229Updated 3 months ago
- Official repository for the paper "Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting" (ICML 2024)☆19Updated last year
- [ECMLPKDD21] Countrywide Origin-Destination Matrix Prediction and Its Application for COVID-19☆30Updated 2 years ago
- Collection of papers relating data-driven higher-order graph/networks researches.☆71Updated 2 years ago
- ☆45Updated 2 years ago
- ☆43Updated 3 years ago
- An Open Source Spatio-Temporal Prediction Package☆211Updated 9 months ago