Alternatives and similar repositories for TransTTE_demo:

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

• zouguojian / Travel-time-prediction
  When Will We Arrive? A Novel Multi-Task Spatio-Temporal Attention Network Based on Individual Preference for Estimating Travel Time
  ☆38Updated last year
• ChenXu02 / ProbETA
  Code for paper ''Link Representation Learning for Probabilistic Travel Time Estimation"
  ☆8Updated last week
• kejintao / ST-ED-RMGC
  Code for the paper "Predicting origin-destination ride-sourcing demand with a spatio-temporal encoder-decoder residual multi-graph convol…
  ☆15Updated 4 years ago
• Logan-Lin / DOT
  Implementation code for the model Diffusion-based Origin-destination Travel Time Estimation (DOT), proposed in the SIGMOD 2024 paper "Ori…
  ☆17Updated 6 months ago
• deepkashiwa20 / ODCRN
  [ECMLPKDD21] Countrywide Origin-Destination Matrix Prediction and Its Application for COVID-19
  ☆30Updated last year
• Echohhhhhh / GSNet
  AAAI 2021. GSNet: Learning Spatial-Temporal Correlations from Geographical and Semantic Aspects for Traffic Accident Risk Forecasting
  ☆32Updated 2 years ago
• Essaim / CGCDemandPrediction
  ☆49Updated 2 years ago
• wanhuaiyu / ASTGNN
  ☆16Updated 2 years ago
• wumingyao / MADGCN
  ☆10Updated 3 years ago
• JinleiZhangBJTU / Conv-GCN
  Code for Multi-graph convolutional network for short-term passenger flow forecasting in urban rail transit
  ☆30Updated 4 years ago
• goaheand / AdapGL-pytorch
  ☆64Updated 3 years ago
• j1o2h3n / DDSTGCN
  Dual Dynamic Spatial-Temporal Graph Convolution Network for Traffic Prediction
  ☆44Updated 2 years ago
• SmallNana / STSGCN_Pytorch
  ☆77Updated last year
• mingqian000 / TrGNN
  Traffic Flow Prediction with Vehicle Trajectories
  ☆69Updated 4 years ago
• ZhuangDingyi / STZINB
  Source code of implementing spatial-temporal zero-inflated negative binomial network for trip demand prediction
  ☆25Updated 3 years ago
• yoshall / DeepLGR
  Pytorch Implementation of DeepLGR, ECML-PKDD-20
  ☆10Updated 4 years ago
• lonicera-yx / MGT
  ☆38Updated 3 years ago
• DrownFish19 / CorrSTN
  A correlation information-based spatiotemporal network for traffic flow forecasting
  ☆29Updated last year
• panzheyi / MF-STN
  The codes and data of paper "Matrix Factorization for Spatio-Temporal Neural Networks with Applications to Urban Flow Prediction"
  ☆26Updated last year
• HCPLab-SYSU / PVCGN
  code for "Physical-Virtual Collaboration Graph Network for Station-Level Metro Ridership Prediction"
  ☆55Updated 2 years ago
• underdoc-wang / MPGCN
  [ICDE'20] Predicting Origin-Destination Flow via Multi-Perspective Graph Convolutional Network (Pytorch Replication)
  ☆20Updated 3 years ago
• Eighonet / GCT-TTE
  GCT-TTE algorithm & dedicated application
  ☆9Updated last year
• LiuZH-19 / Ada-STNet
  ☆43Updated 2 years ago
• R0oup1iao / Traffic-Transformer
  This is a Pytorch implementation of Traffic Transformer. Now the corresponding paper is available online at
  ☆25Updated 2 years ago
• Yukayo / MobGT
  [SIGSPATIAL 2023] Revisiting Mobility Modeling with Graph: A Graph Transformer Model for Next Point-of-Interest Recommendation
  ☆22Updated 10 months ago
• underdoc-wang / ST-MGCN
  [AAAI'19] Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting (Pytorch Replication)
  ☆90Updated 3 years ago
• MiaoHaoSunny / MT-ASTN
  Code for Paper "Multi-task Adversarial Spatial-Temporal Networks for Crowd Flow Prediction"
  ☆20Updated 2 years ago
• NickHan-cs / Spatio-Temporal-Data-Mining-Survey
  Paper & Code & Dataset Collection of Spatial-Temporal Data Mining.
  ☆122Updated 9 months ago
• deepkashiwa20 / DeepCrowd
  [TKDE 2021 Paper] DeepCrowd: A Deep Model for Large-Scale Citywide Crowd Density and Flow Prediction
  ☆16Updated last year
• wengwenchao123 / PDG2Seq
  [Neural Networks] PDG2Seq: Periodic Dynamic Graph to Sequence model for Traffic Flow Prediction
  ☆13Updated last month