Emory-Melody / awesome-epidemic-modeling-papersLinks
[KDD 2024] Papers about deep learning in epidemic modeling.
☆64Updated last year
Alternatives and similar repositories for awesome-epidemic-modeling-papers
Users that are interested in awesome-epidemic-modeling-papers are comparing it to the libraries listed below
Sorting:
- A Python Library for Machine Learning in Epidemic Data Modeling and Analysis☆56Updated 2 months ago
- [ECMLPKDD22] MepoGNN: Metapopulation Epidemic Forecasting with Graph Neural Networks☆30Updated 2 years ago
- An awesome collection of causality-inspired graph neural networks.☆93Updated 11 months ago
- ☆36Updated 4 years ago
- A list of Graph Causal Learning materials.☆207Updated 9 months ago
- Collection of papers relating data-driven higher-order graph/networks researches.☆73Updated 2 years ago
- Official Implementation of "TempME: Towards the Explainability of Temporal Graph Neural Networks via Motif Discovery"☆16Updated last year
- [ECML-PKDD2022] EpiGNN: Exploring Spatial Transmission with Graph Neural Network for Regional Epidemic Forecasting☆27Updated 3 years ago
- Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).☆82Updated 6 months ago
- [ACM Computing Surveys'23] Implementations or refactor of some temporal link prediction/dynamic link prediction methods and summary of re…☆59Updated last year
- Paper list on GNNs + Differential Equations (ODE, PDE, SDE)☆46Updated 5 months ago
- ☆24Updated last year
- ☆104Updated 2 years ago
- ☆24Updated 4 years ago
- ☆63Updated 4 years ago
- An Empirical Evaluation of Temporal Graph Benchmark☆37Updated 2 years ago
- A Library for Dynamic Graph Learning (NeurIPS 2023)☆274Updated 2 years ago
- A collection of papers on Graph Structural Learning (GSL)☆56Updated last year
- Predicting COVID-19 pandemic by spatio-temporal graph neural networks https://arxiv.org/abs/2305.07731☆12Updated 2 years ago
- AAAI23-Directed Acyclic Graph Structure Learning from Dynamic Graphs☆11Updated 2 years ago
- [WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction☆51Updated 11 months ago
- [WWW'2023] "AutoST: Automated Spatio-Temporal Graph Contrastive Learning"☆67Updated 2 years ago
- Advances on machine learning of dynamic (temporal) graphs, covering the reading list of recent top academic conferences.☆63Updated 2 years ago
- ☆58Updated 2 months ago
- TREND: TempoRal Event and Node Dynamics for Graph Representation Learning. WWW-2022.☆37Updated last year
- "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023☆134Updated last year
- Advances on machine learning of graphs, covering the reading list of recent top academic conferences.☆225Updated last month
- A Survey of Learning from Graphs with Heterophily☆152Updated 8 months ago
- ☆49Updated last year
- Kolmogorov Arnold Networks (KANs) for Graph Neural Networks (GNNs) and Tasks on Graphs☆64Updated last year