Alternatives and similar repositories for pandemic_tgnn

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

• chaoshangcs / GTS
  Discrete Graph Structure Learning for Forecasting Multiple Time Series, ICLR 2021.
  ☆176Updated 3 years ago
• Z-GCNETs / Z-GCNETs
  ☆42Updated 3 years ago
• Graph-Machine-Learning-Group / sgp
  Official repository for the paper "Scalable Spatiotemporal Graph Neural Networks" (AAAI 2023)
  ☆50Updated 2 years ago
• spindro / GINN
  Graph Imputation Neural Network
  ☆79Updated 5 years ago
• AmitRoy7781 / USTGCN
  [IJCNN 2021] Unified Spatio-Temporal modeling for traffic forecasting using Graph Convolutional Network
  ☆36Updated last year
• panzheyi / AutoSTG
  ☆25Updated 4 years ago
• DeepGraphLearning / ContinuousGNN
  ☆47Updated 3 years ago
• fpour / DGB
  Dynamic Graph Benchmark
  ☆83Updated 2 years ago
• deepkashiwa20 / MepoGNN
  [ECMLPKDD22] MepoGNN: Metapopulation Epidemic Forecasting with Graph Neural Networks
  ☆30Updated 2 years ago
• CongWeilin / GraphMixer
  ☆103Updated 2 years ago
• square-coder / STGODE
  Spatial-Temporal Graph ODE Neural Network
  ☆119Updated 3 years ago
• snap-stanford / roland
  ☆138Updated last year
• v1xerunt / STAN
  ☆23Updated last year
• TrustAGI-Lab / MTGODE
  [TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".
  ☆87Updated 2 years ago
• xlwang233 / pytorch-DCRNN
  PyTorch implementation of Diffusion Convolutional Recurrent Neural Network
  ☆51Updated 5 years ago
• davidchouzdw / TagGen
  A Data-Driven Graph Generative Model for Temporal Interaction Networks
  ☆36Updated 3 years ago
• l852888 / AGSTN
  Official implementation of AGSTN model(ICDM2020)
  ☆12Updated 5 years ago
• jhljx / CTGCN
  CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/…
  ☆94Updated 2 months ago
• KienMN / STGNN-for-Covid-in-Korea
  Spatio-temporal graph neural network for predicting COVID-19 new cases in Korea.
  ☆34Updated 3 years ago
• CRIPAC-DIG / DyGCN
  Code for "DyGCN: Dynamic Graph Embedding with Graph Convolutional Network"
  ☆38Updated last year
• tamps2gcnets / TAMP_S2GCNets
  ☆19Updated 3 years ago
• Kaimaoge / IGNNK
  ☆125Updated 2 years ago
• StatsDLMathsRecomSys / Self-attention-with-Functional-Time-Representation-Learning
  ☆49Updated 2 years ago
• tijsmaas / TrafficPrediction
  This repository combines recent works in deep learning spatio-temporal traffic prediction.
  ☆29Updated 5 years ago
• IBM / TM-GCN
  Pytorch code for TM-GCN, a Dynamic Graph Convolutional Networks Using the Tensor M-Product
  ☆28Updated 4 years ago
• wanyu-lin / ICML2021-Gem
  Official code for the ICML 2021 paper "Generative Causal Explanations for Graph Neural Networks."
  ☆68Updated 3 years ago
• EternityZY / STNSCM
  This is the official release code of AAAI2023 accepted paper: "Spatial temporal Neural Structural Causal Models for Bike Flow Prediction"
  ☆37Updated 2 years ago
• razhangwei / CAUSE
  ☆32Updated 3 years ago
• marlin-codes / HTGN
  PyTorch Implementation for "Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space (KDD2021)"
  ☆48Updated 2 years ago
• LZH-YS1998 / STHSL
  [ICDE'2022] "Spatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction"
  ☆40Updated 3 years ago