Alternatives and similar repositories for pandemic_tgnn

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

• Graph-Machine-Learning-Group / sgp
  Official repository for the paper "Scalable Spatiotemporal Graph Neural Networks" (AAAI 2023)
  ☆49Updated last year
• chaoshangcs / GTS
  Discrete Graph Structure Learning for Forecasting Multiple Time Series, ICLR 2021.
  ☆175Updated 3 years ago
• AmitRoy7781 / USTGCN
  [IJCNN 2021] Unified Spatio-Temporal modeling for traffic forecasting using Graph Convolutional Network
  ☆36Updated 10 months ago
• Z-GCNETs / Z-GCNETs
  ☆40Updated 3 years ago
• CongWeilin / GraphMixer
  ☆101Updated last year
• panzheyi / AutoSTG
  ☆25Updated 4 years ago
• xlwang233 / pytorch-DCRNN
  PyTorch implementation of Diffusion Convolutional Recurrent Neural Network
  ☆50Updated 5 years ago
• square-coder / STGODE
  Spatial-Temporal Graph ODE Neural Network
  ☆114Updated 3 years ago
• KienMN / STGNN-for-Covid-in-Korea
  Spatio-temporal graph neural network for predicting COVID-19 new cases in Korea.
  ☆31Updated 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
• fpour / DGB
  Dynamic Graph Benchmark
  ☆82Updated 2 years ago
• davidchouzdw / TagGen
  A Data-Driven Graph Generative Model for Temporal Interaction Networks
  ☆35Updated 2 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/…
  ☆95Updated 2 years ago
• Graph-Machine-Learning-Group / grin
  Official repository for the paper "Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks" (ICLR 2022)
  ☆169Updated 3 years ago
• wanyu-lin / ICML2021-Gem
  Official code for the ICML 2021 paper "Generative Causal Explanations for Graph Neural Networks."
  ☆67Updated 3 years ago
• spindro / GINN
  Graph Imputation Neural Network
  ☆79Updated 5 years ago
• armanihm / GDC
  Bayesian Graph Neural Networks with Adaptive Connection Sampling - Pytorch
  ☆61Updated 4 years ago
• AprLie / TrafficStream
  ☆48Updated 3 years ago
• RobinLu1209 / ST-GFSL
  ☆45Updated 2 years ago
• AaltoPML / PINT
  ☆19Updated 2 years ago
• marlin-codes / HTGN
  PyTorch Implementation for "Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space (KDD2021)"
  ☆48Updated last year
• v1xerunt / STAN
  ☆24Updated last year
• deepkashiwa20 / MegaCRN
  [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"
  ☆125Updated last year
• TrustAGI-Lab / MTGODE
  [TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".
  ☆84Updated 2 years ago
• Kaimaoge / IGNNK
  ☆123Updated 2 years ago
• YesLab-Code / HTGNN
  ☆57Updated 3 years ago
• Shubhranshu-Shekhar / ctdne
  Reproducing the results of the paper Continuous-time Dynamic Network Embeddings
  ☆30Updated 6 years ago
• dongkuanx27 / STAR
  Spatio-Temporal Attentive RNN for Node Classification in Temporal Attributed Graphs (IJCAI'19)
  ☆20Updated 3 years ago
• twitter-research / feature-propagation
  ☆83Updated 3 years ago
• uoguelph-mlrg / LDG
  PyTorch code for "Learning Temporal Attention in Dynamic Graphs with Bilinear Interactions"
  ☆102Updated 4 years ago