Alternatives and similar repositories for STNSCM

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

• deepkashiwa20 / MemeSTN
  WWW23-Learning Social Meta-knowledge for Nowcasting Human Mobility in Disaster
  ☆17Updated 2 years ago
• ZhuangDingyi / STZINB
  Source code of implementing spatial-temporal zero-inflated negative binomial network for trip demand prediction
  ☆25Updated 3 years ago
• jbdj-star / st
  ☆42Updated 3 years ago
• MiaoHaoSunny / MT-ASTN
  Code for Paper "Multi-task Adversarial Spatial-Temporal Networks for Crowd Flow Prediction"
  ☆20Updated 2 years ago
• RobinLu1209 / ST-GFSL
  ☆44Updated 2 years ago
• Rising0321 / HMOD
  The code of Dynamic Graph Learning Based on Hierarchical Memory for Origin-Destination Demand Prediction
  ☆14Updated 3 years ago
• AprLie / TrafficStream
  ☆47Updated 3 years ago
• liuxu77 / STGCL
  When Do Contrastive Learning Signals Help Spatio-Temporal Graph Forecasting? (SIGSPATIAL 2022)
  ☆43Updated 2 years ago
• Essaim / CGCDemandPrediction
  ☆49Updated 3 years ago
• square-coder / STGODE
  Spatial-Temporal Graph ODE Neural Network
  ☆111Updated 3 years ago
• liangzhehan / DMSTGCN
  ☆73Updated 2 years ago
• alipay / RGSL
  ☆44Updated 2 years ago
• tsinghua-fib-lab / SIRI
  The official PyTorch implementation of "Causal Learning Empowered OD Prediction for Urban Planning" (CIKM 2022).
  ☆11Updated 2 years ago
• Curb-GAN / Curb-GAN
  The codes and data of paper "Curb-GAN: Conditional Urban Traffic Estimation through Spatio-Temporal Generative Adversarial Networks"
  ☆33Updated 5 years ago
• LMissher / ST-GRAT
  The pytorch implementation of ST-GRAT: A Novel Spatio-temporal Graph Attention Network for Accurately Forecasting Dynamically Changing Ro…
  ☆42Updated 4 years ago
• deepkashiwa20 / Urban_Concept_Drift
  [CIKM 2023] MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation
  ☆24Updated last year
• panzheyi / AutoSTG
  ☆25Updated 4 years ago
• trainingl / STG4Traffic
  Code of “STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction”.
  ☆69Updated 10 months ago
• EternityZY / CCHMM
  This is the official release code of AAAI2023 accepted paper: "Causal Conditional Hidden Markov Model for Multimodal Traffic Prediction"
  ☆12Updated 2 years ago
• underdoc-wang / MPGCN
  [ICDE'20] Predicting Origin-Destination Flow via Multi-Perspective Graph Convolutional Network (Pytorch Replication)
  ☆21Updated 4 years ago
• Echo-Ji / ST-SSL_Dataset
  The data of paper "Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction".
  ☆31Updated last year
• zzyy0929 / Codes-for-RiskSeq-TKDE
  Codes for RiskSeq-TKDE
  ☆20Updated 4 years ago
• wanhuaiyu / ASTGNN
  ☆16Updated 2 years ago
• CYBruce / STAWnet
  An end-to-end deep learning model for spatial-temporal prediction
  ☆35Updated 3 years ago
• deepkashiwa20 / MegaCRN
  [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"
  ☆117Updated last year
• deepkashiwa20 / ODCRN
  [ECMLPKDD21] Countrywide Origin-Destination Matrix Prediction and Its Application for COVID-19
  ☆30Updated last year
• yutong-xia / CaST
  PyTorch implementation of CaST, NeurIPS-23.
  ☆34Updated 6 months ago
• underdoc-wang / EAST-Net
  [AAAI'22] Event-Aware Multimodal Mobility Nowcasting
  ☆14Updated 2 years ago
• XDZhelheim / HimNet
  [KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".
  ☆52Updated 9 months ago
• YihongT / DASTNet
  [CIKM 2022] Source codes of CIKM2022 Full Paper "Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Tra…
  ☆47Updated 2 years ago