Graph-Machine-Learning-Group / taming-local-effects-stgnns

Related projects ⓘ

Alternatives and complementary repositories for taming-local-effects-stgnns

• Graph-Machine-Learning-Group / sgp
  Official repository for the paper "Scalable Spatiotemporal Graph Neural Networks" (AAAI 2023)
  ☆44Updated last year
• gravins / TG-ODE
  Official reference implementation of our paper "Temporal Graph ODEs for Irregularly-Sampled Time Series" accepted at IJCAI 24
  ☆17Updated 2 months ago
• TrustAGI-Lab / MTGODE
  [TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".
  ☆74Updated 2 years ago
• Graph-Machine-Learning-Group / spin
  Official repository for the paper "Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations" (NeurIPS 202…
  ☆49Updated last year
• sqlcow / TITAN
  The offical code for 《A Time Series is Worth Five Experts: Heterogeneous Mixture of Experts for Traffic Flow Prediction》
  ☆16Updated last month
• deepkashiwa20 / MegaCRN
  [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"
  ☆107Updated 11 months ago
• CongWeilin / GraphMixer
  ☆98Updated last year
• square-coder / STGODE
  Spatial-Temporal Graph ODE Neural Network
  ☆95Updated 2 years ago
• HKUDS / GraphST
  [ICML'2023] "GraphST: Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation"
  ☆49Updated 5 months ago
• nnzhan / TraverseNet
  ☆16Updated 2 years ago
• HKUDS / AutoST
  [WWW'2023] "AutoST: Automated Spatio-Temporal Graph Contrastive Learning"
  ☆60Updated last year
• gravins / Anti-SymmetricDGN
  Official code repository for the papers "Anti-Symmetric DGN: a stable architecture for Deep Graph Networks" accepted at ICLR 2023; "Non-D…
  ☆10Updated 4 months ago
• XDZhelheim / HimNet
  [KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".
  ☆34Updated 2 months ago
• deepkashiwa20 / Urban_Concept_Drift
  [CIKM 2023] MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation
  ☆20Updated 11 months ago
• AprLie / TrafficStream
  ☆43Updated 2 years ago
• RobinLu1209 / ST-GFSL
  ☆40Updated 2 years ago
• uctb / Urban-Dataset
  ☆23Updated 2 months ago
• jeongwhanchoi / STG-NCDE
  "Graph Neural Controlled Differential Equations for Traffic Forecasting", AAAI 2022
  ☆131Updated 2 months ago
• usail-hkust / ASeer
  The project for KDD24 paper 'Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Networks…
  ☆14Updated 2 months ago
• ZhuangDingyi / STZINB
  Source code of implementing spatial-temporal zero-inflated negative binomial network for trip demand prediction
  ☆24Updated 2 years ago
• EternityZY / STNSCM
  This is the official release code of AAAI2023 accepted paper: "Spatial temporal Neural Structural Causal Models for Bike Flow Prediction"
  ☆34Updated last year
• LMZZML / PriSTI
  ☆74Updated last year
• ChyaZhang / ChatTraffic
  The official implementation of ChatTraffic.
  ☆34Updated last week
• razvanc92 / ST-WA
  ☆18Updated 2 years ago
• idea-iitd / Frigate
  ☆16Updated last year
• HKUDS / GPT-ST
  [NeurIPS'2023] "GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks"
  ☆73Updated 5 months ago
• liuxu77 / STGCL
  When Do Contrastive Learning Signals Help Spatio-Temporal Graph Forecasting? (SIGSPATIAL 2022)
  ☆40Updated 2 years ago
• Z-GCNETs / Z-GCNETs
  ☆37Updated 3 years ago
• XDZhelheim / STAEformer
  [CIKM'23] Official code for our paper "Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting".
  ☆139Updated 10 months ago
• JLDeng / SCNN
  ☆26Updated 4 months ago