usail-hkust / RDAT

Related projects: ⓘ

• idea-iitd / Frigate
  ☆16Updated last year
• panzheyi / AutoSTG
  ☆25Updated 3 years ago
• HKUDS / AutoST
  [WWW'2023] "AutoST: Automated Spatio-Temporal Graph Contrastive Learning"
  ☆54Updated last year
• deepkashiwa20 / MemeSTN
  WWW23-Learning Social Meta-knowledge for Nowcasting Human Mobility in Disaster
  ☆15Updated last year
• Bounger2 / ST-CGCN
  Display of data sets and core code in STCGCN
  ☆18Updated last year
• zhengdaoli / AGC-net
  AGC-Net (Adaptive Graph Convolution Networks) is an advanced model designed to predict traffic flow. Dataset: METR-LA, PEMS-BAY
  ☆10Updated last year
• AprLie / TrafficStream
  ☆42Updated 2 years ago
• HKUDS / GPT-ST
  [NeurIPS'2023] "GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks"
  ☆66Updated 3 months ago
• yuyolshin / PGCN
  ☆9Updated last year
• EternityZY / STNSCM
  This is the official release code of AAAI2023 accepted paper: "Spatial temporal Neural Structural Causal Models for Bike Flow Prediction"
  ☆32Updated last year
• deepkashiwa20 / MegaCRN
  [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"
  ☆99Updated 8 months ago
• ChyaZhang / ChatTraffic
  The official implementation of ChatTraffic.
  ☆30Updated 3 weeks ago
• gorgen2020 / DVGNN
  ☆16Updated last year
• ant-research / RGSL
  ☆44Updated 2 years ago
• RongfanLi98 / SPGCL
  SPGCL: Mining Spatio-Temporal Relations via Self-Paced Graph Contrastive Learning
  ☆13Updated last year
• LiuAoyu1998 / STIDGCN
  ☆49Updated 7 months ago
• LMissher / ST-GRAT
  The pytorch implementation of ST-GRAT: A Novel Spatio-temporal Graph Attention Network for Accurately Forecasting Dynamically Changing Ro…
  ☆37Updated 3 years ago
• wengwenchao123 / DDGCRN
  [Pattern Recognition] Decomposition Dynamic Graph Conolutional Recurrent Network for Traffic Forecasting
  ☆61Updated 3 months ago
• square-coder / STGODE
  Spatial-Temporal Graph ODE Neural Network
  ☆90Updated 2 years ago
• nnzhan / TraverseNet
  ☆16Updated 2 years ago
• xlwang233 / STSeq2Seq
  PyTorch implementaion of Spatial-Temporal Sequence to Sequence model.
  ☆15Updated 3 years ago
• kevin-xuan / FOGS
  [IJCAI'2022] FOGS: First-Order Gradient Supervision with Learning-based Graph for Traffic Flow Forecasting
  ☆22Updated last year
• tsinghua-fib-lab / GPD
  The official implementation of the ICLR 24 submission entitled "Spatio-Temporal Few-Shot Learning via Diffusive Neural Network Generation…
  ☆35Updated 4 months ago
• RobinLu1209 / ST-GFSL
  ☆38Updated 2 years ago
• yokifly / ASTTN_pytorch
  ☆32Updated last year
• Echo-Ji / STDEN
  Pytorch implementation of Spatoi-temporal Differential Equation Network (STDEN).
  ☆30Updated 2 years ago
• liuxu77 / STGCL
  When Do Contrastive Learning Signals Help Spatio-Temporal Graph Forecasting? (SIGSPATIAL 2022)
  ☆37Updated last year
• shuowang-ai / Papers-on-Spatial-Temporal-Graph-Neural-Networks
  Papers on Spatial-Temporal Graph Neural Networks
  ☆25Updated 2 years ago
• Sam1224 / STCPA
  Official code for "Traffic Speed Imputation with Spatio-Temporal Attentions and Cycle-Perceptual Training" (CIKM'22).
  ☆10Updated 6 months ago
• MiaoHaoSunny / MT-ASTN
  Code for Paper "Multi-task Adversarial Spatial-Temporal Networks for Crowd Flow Prediction"
  ☆20Updated 2 years ago