Emory-Melody / awesome-epidemic-modeling-papersLinks
[KDD 2024] Papers about deep learning in epidemic modeling.
☆59Updated 9 months ago
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☆47Updated 3 months ago
- [ECMLPKDD22] MepoGNN: Metapopulation Epidemic Forecasting with Graph Neural Networks☆28Updated 2 years ago
- An awesome collection of causality-inspired graph neural networks.☆80Updated 7 months ago
- A list of Graph Causal Learning materials.☆198Updated 5 months ago
- Collection of papers relating data-driven higher-order graph/networks researches.☆71Updated 2 years ago
- [ACM Computing Surveys'23] Implementations or refactor of some temporal link prediction/dynamic link prediction methods and summary of re…☆56Updated 8 months ago
- [ECML-PKDD2022] EpiGNN: Exploring Spatial Transmission with Graph Neural Network for Regional Epidemic Forecasting☆27Updated 2 years ago
- An Empirical Evaluation of Temporal Graph Benchmark☆36Updated last year
- Paper list on GNNs + Differential Equations (ODE, PDE, SDE)☆30Updated last month
- ☆36Updated 3 years ago
- A Library for Dynamic Graph Learning (NeurIPS 2023)☆253Updated last year
- Advances on machine learning of graphs, covering the reading list of recent top academic conferences.☆200Updated last month
- Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).☆73Updated last month
- ☆101Updated last year
- ☆49Updated 2 months ago
- ☆57Updated 3 years ago
- ☆24Updated last year
- [ICML'2023] "GraphST: Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation"☆54Updated 6 months ago
- [WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction☆45Updated 7 months ago
- "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023☆128Updated last year
- Kolmogorov Arnold Networks (KANs) for Graph Neural Networks (GNNs) and Tasks on Graphs☆61Updated 9 months ago
- A Survey of Learning from Graphs with Heterophily☆144Updated 4 months ago
- This repository contains the resources on graph neural network (GNN) considering heterophily.☆262Updated 7 months ago
- A collection of resources on attention-based graph neural networks☆76Updated last year
- Advances on machine learning of dynamic (temporal) graphs, covering the reading list of recent top academic conferences.☆62Updated last year
- A collection of papers on Graph Structural Learning (GSL)☆54Updated last year
- Reimplementation of AAAI21 paper "Beyond Low-frequency Information in Graph Convolutional Networks" based on PyTorch and PyTorch Geometri…☆23Updated 2 years ago
- Predicting COVID-19 pandemic by spatio-temporal graph neural networks https://arxiv.org/abs/2305.07731☆12Updated last year
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆84Updated 7 months ago
- A Python library for graph reduction including condensation, coarsening, and sparsification.☆22Updated 3 months ago