Alternatives and similar repositories for EpiLearn:

Users that are interested in EpiLearn are comparing it to the libraries listed below

• Emory-Melody / awesome-epidemic-modeling-papers
  [KDD 2024] Papers about deep learning in epidemic modeling.
  ☆51Updated 5 months ago
• deepkashiwa20 / MepoGNN
  [ECMLPKDD22] MepoGNN: Metapopulation Epidemic Forecasting with Graph Neural Networks
  ☆25Updated last year
• ZijieH / CG-ODE
  ☆35Updated 3 years ago
• yuwvandy / FairVGNN
  ☆25Updated 2 years ago
• usail-hkust / Awesome-Causality-Inspired-GNNs
  An awesome collection of causality-inspired graph neural networks.
  ☆64Updated 3 months ago
• ivam-he / ChebNetII
  PyTorch implementation of "Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited"
  ☆35Updated last year
• chirag-agarwall / nifty
  Code for paper https://arxiv.org/abs/2102.13186
  ☆44Updated 3 years ago
• zylMozart / Disentangle_GraphHom
  [Neurips 2024] Disentangled Graph Homophily
  ☆21Updated last month
• QueuQ / CGLB
  ☆54Updated 3 months ago
• RiemannGraph / MotifRGC
  Motif-aware Riemannian Graph Neural Network with Generative-Contrastive Learning
  ☆18Updated 10 months ago
• Graph-COM / ED-HNN
  [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li
  ☆43Updated 6 months ago
• Emory-Melody / GraphSlim
  A Python library for graph reduction including condensation, coarsening, and sparsification.
  ☆17Updated this week
• yule-BUAA / DyGLib_TGB
  An Empirical Evaluation of Temporal Graph Benchmark
  ☆31Updated last year
• GemsLab / H2GCN
  Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)
  ☆101Updated 2 years ago
• marlin-codes / HTGN
  PyTorch Implementation for "Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space (KDD2021)"
  ☆46Updated last year
• alexfanjn / FAGCN_PyG
  Reimplementation of AAAI21 paper "Beyond Low-frequency Information in Graph Convolutional Networks" based on PyTorch and PyTorch Geometri…
  ☆21Updated 2 years ago
• HKUDS / GraphST
  [ICML'2023] "GraphST: Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation"
  ☆54Updated 2 months ago
• RecklessRonan / GloGNN
  ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily
  ☆43Updated 2 years ago
• TaiLvYuanLiang / HGWaveNet
  ☆12Updated last year
• SitaoLuan / When-Do-GNNs-Help
  Official repository for NeurIPS 2023 paper "When Do Graph Neural Networks Help with Node Classification? Investigating the Impact of Homo…
  ☆19Updated 3 months ago
• HKUDS / AutoST
  [WWW'2023] "AutoST: Automated Spatio-Temporal Graph Contrastive Learning"
  ☆63Updated last year
• yushundong / PyGDebias
  Open-source Library PyGDebias: Graph Datasets and Fairness-Aware Graph Mining Algorithms
  ☆62Updated 10 months ago
• Yujun-Yan / Heterophily_and_oversmoothing
  Codes for "Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks"
  ☆37Updated last year
• GitEventhandler / H2GCN-PyTorch
  A pytorch implementation of H2GCN raised in the paper "Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Desig…
  ☆34Updated 2 years ago
• Xiefeng69 / EpiGNN
  [ECML-PKDD2022] EpiGNN: Exploring Spatial Transmission with Graph Neural Network for Regional Epidemic Forecasting
  ☆25Updated 2 years ago
• zepengzhang / awesome-graph-structure-learning
  A collection of papers on Graph Structural Learning (GSL)
  ☆54Updated last year
• yixinliu233 / GREET
  [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating
  ☆50Updated 2 years ago
• yueliu1999 / KAN4Graph
  Kolmogorov Arnold Networks (KANs) for Graph Neural Networks (GNNs) and Tasks on Graphs
  ☆58Updated 4 months ago
• Amanda-Zheng / LEBED
  Pytorch implementation for ICLR24:"Online GNN Evaluation Under Test-Time Graph Distribution Shifts"
  ☆15Updated 11 months ago