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

• Emory-Melody / EpiLearn
  A Python Library for Machine Learning in Epidemic Data Modeling and Analysis
  ☆60Updated 3 months ago
• deepkashiwa20 / MepoGNN
  [ECMLPKDD22] MepoGNN: Metapopulation Epidemic Forecasting with Graph Neural Networks
  ☆30Updated 2 years ago
• usail-hkust / Awesome-Causality-Inspired-GNNs
  An awesome collection of causality-inspired graph neural networks.
  ☆98Updated last year
• Xiefeng69 / EpiGNN
  [ECML-PKDD2022] EpiGNN: Exploring Spatial Transmission with Graph Neural Network for Regional Epidemic Forecasting
  ☆27Updated 3 years ago
• ZijieH / CG-ODE
  ☆37Updated 4 years ago
• v1xerunt / STAN
  ☆25Updated 2 years ago
• TimeLovercc / Awesome-Graph-Causal-Learning
  A list of Graph Causal Learning materials.
  ☆209Updated 11 months ago
• FeiGSSS / Awesome-HigherOrderGraph
  Collection of papers relating data-driven higher-order graph/networks researches.
  ☆73Updated 3 years ago
• Emory-Melody / Awesome-Graph-Neural-Differential-Equations
  Paper list on GNNs + Differential Equations (ODE, PDE, SDE)
  ☆52Updated 7 months ago
• CongWeilin / GraphMixer
  ☆104Updated 2 years ago
• MGitHubL / Awesome-Temporal-Graph-Learning
  Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).
  ☆82Updated 7 months ago
• YesLab-Code / HTGNN
  ☆64Updated 4 years ago
• yule-BUAA / DyGLib_TGB
  An Empirical Evaluation of Temporal Graph Benchmark
  ☆37Updated 2 years ago
• zepengzhang / awesome-graph-structure-learning
  A collection of papers on Graph Structural Learning (GSL)
  ☆57Updated last year
• KuroginQin / OpenTLP
  [ACM Computing Surveys'23] Implementations or refactor of some temporal link prediction/dynamic link prediction methods and summary of re…
  ☆59Updated last year
• doujiang-zheng / Dynamic-Temporal-Graph-Learning-Reading-List
  Advances on machine learning of dynamic (temporal) graphs, covering the reading list of recent top academic conferences.
  ☆63Updated 2 years ago
• hazdzz / awesome-gnn
  A list for GNNs and related works.
  ☆102Updated 3 weeks ago
• chirag-agarwall / nifty
  Code for paper https://arxiv.org/abs/2102.13186
  ☆43Updated 4 years ago
• LiuChuang0059 / graph-pooling-papers
  IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)
  ☆117Updated 9 months ago
• yule-BUAA / DyGLib
  A Library for Dynamic Graph Learning (NeurIPS 2023)
  ☆283Updated 2 years ago
• Emory-Melody / GraphSlim
  [NeurIPS 2025] A Python library for graph reduction including condensation, coarsening, and sparsification.
  ☆26Updated last month
• doujiang-zheng / Awesome-Graph-Learning-Papers-List
  Advances on machine learning of graphs, covering the reading list of recent top academic conferences.
  ☆229Updated last month
• snap-stanford / roland
  ☆144Updated 2 years ago
• googlebaba / GraphNOTEARS
  AAAI23-Directed Acyclic Graph Structure Learning from Dynamic Graphs
  ☆11Updated 3 years ago
• HKUDS / STExplainer
  [CIKM'2023] "STExplainer: Explainable Spatio-Temporal Graph Neural Networks"
  ☆59Updated last year
• davidchouzdw / TagGen
  A Data-Driven Graph Generative Model for Temporal Interaction Networks
  ☆36Updated 3 years ago
• geopanag / pandemic_tgnn
  ☆49Updated last year
• Graph-COM / GAD-NR
  [WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction
  ☆52Updated last year
• fpour / DGB
  Dynamic Graph Benchmark
  ☆87Updated 2 years ago
• Emory-Melody / awesome-graph-reduction
  [IJCAI 2024] Papers about graph reduction including graph coarsening, graph condensation, graph sparsification, graph summarization, etc.
  ☆172Updated last month