Alternatives and similar repositories for xTP-LLM:

Users that are interested in xTP-LLM are comparing it to the libraries listed below

• ChenxiLiu-HNU / ST-LLM
  Official implementation of the paper "Spatial-Temporal Large Language Model for Traffic Prediction"
  ☆54Updated last week
• WenMellors / TS-TrajGen
  Continuous Trajectory Generation Based on Two-Stage GAN, AAAI 2023.
  ☆41Updated last year
• ShuhaoLii / LaneLevel-Traffic-Benchmark
  ☆21Updated 5 months ago
• zouguojian / Travel-time-prediction
  When Will We Arrive? A Novel Multi-Task Spatio-Temporal Attention Network Based on Individual Preference for Estimating Travel Time
  ☆33Updated last year
• lonicera-yx / MGT
  ☆38Updated 2 years ago
• NickHan-cs / Spatio-Temporal-Data-Mining-Survey
  Paper & Code & Dataset Collection of Spatial-Temporal Data Mining.
  ☆112Updated 6 months ago
• Echo-Ji / ST-SSL
  ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction
  ☆166Updated last month
• mingqian000 / TrGNN
  Traffic Flow Prediction with Vehicle Trajectories
  ☆65Updated 3 years ago
• trainingl / STG4Traffic
  Code of “STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction”.
  ☆64Updated 6 months ago
• tongnie / ImputeFormer
  [KDD 2024] "ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal Imputation"
  ☆32Updated this week
• ChyaZhang / ChatTraffic
  The official implementation of ChatTraffic.
  ☆36Updated this week
• xyk0058 / STGAT
  Paper STGAT: Spatial-Temporal Graph Attention Networks for Traffic Flow Forecasting
  ☆17Updated 3 years ago
• zouguojian / Traffic-flow-prediction
  This work considers combine multi-tricks with highway network to achieve traffic flow prediction accurately.
  ☆24Updated 7 months ago
• deepkashiwa20 / ODCRN
  [ECMLPKDD21] Countrywide Origin-Destination Matrix Prediction and Its Application for COVID-19
  ☆31Updated last year
• Essaim / CGCDemandPrediction
  ☆49Updated 2 years ago
• BUAABIGSCity / PDFormer
  [AAAI2023] A PyTorch implementation of PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction.
  ☆223Updated last year
• liuxu77 / LargeST
  LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting (NeurIPS 2023 DB Track)
  ☆180Updated last year
• yuanhaitao / STHR_CODE
  ☆13Updated 3 years ago
• zouguojian / Traffic-speed-prediction
  Using to predict the highway traffic speed
  ☆30Updated 9 months ago
• ZhuangDingyi / STZINB
  Source code of implementing spatial-temporal zero-inflated negative binomial network for trip demand prediction
  ☆25Updated 3 years ago
• VincLee8188 / GMAN-PyTorch
  Implementation of Graph Muti-Attention Network with PyTorch
  ☆145Updated last year
• wanhuaiyu / STSGCN
  AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting
  ☆49Updated 2 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…
  ☆16Updated 3 months ago
• Wangjw6 / LLMob
  LLMob is an intuitive framework that builds reasoning logic for LLMs in the context of personal activity trajectory generation.
  ☆32Updated 2 months ago
• LeronQ / STGCN-Pytorch
  Paper:Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting . Implementation of spatio-temporal…
  ☆135Updated 4 years ago
• HCPLab-SYSU / HIAM
  ☆15Updated last year
• xumingxingsjtu / STTN
  The official code for "Spatial temporal transformer networks for traffic flow forecasting"
  ☆93Updated 3 years ago
• huiminren / MTrajRec
  Map-Constrained Trajectory Recovery (KDD'21)
  ☆55Updated 2 years ago
• underdoc-wang / MPGCN
  [ICDE'20] Predicting Origin-Destination Flow via Multi-Perspective Graph Convolutional Network (Pytorch Replication)
  ☆18Updated 3 years ago
• wengwenchao123 / RGDAN
  [Neural Networks] RGDAN: A random graph diffusion attention network for traffic prediction
  ☆27Updated last month