Alternatives and similar repositories for CSLSL

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

• YihongT / HGARN
  [IEEE TITS 2024] Activity-aware human mobility prediction with hierarchical graph attention recurrent network.
  ☆25Updated 10 months ago
• uctb / Urban-Dataset
  ☆27Updated last year
• EternityZY / STNSCM
  This is the official release code of AAAI2023 accepted paper: "Spatial temporal Neural Structural Causal Models for Bike Flow Prediction"
  ☆41Updated 2 years ago
• deepkashiwa20 / MemeSTN
  WWW23-Learning Social Meta-knowledge for Nowcasting Human Mobility in Disaster
  ☆17Updated 2 years ago
• mingyangzhang / mv-region-embedding
  code for paper Multi-View Joint Graph Representation Learning for Urban Region Embedding. (to be updated)
  ☆35Updated 4 years ago
• wtl52656 / IAGCN
  ☆11Updated last year
• hjf1997 / STGNP
  KDD'23 --- Graph Neural Processes for Spatio-Temporal Extrapolation
  ☆37Updated 2 years ago
• xlwang233 / LLM-Mob
  Large Language Models as Human Mobility Predictors
  ☆60Updated last year
• xlwang233 / STSeq2Seq
  [TRC] PyTorch implementaion of Spatial-Temporal Sequence to Sequence model.
  ☆16Updated 4 years ago
• MiaoHaoSunny / MT-ASTN
  Code for Paper "Multi-task Adversarial Spatial-Temporal Networks for Crowd Flow Prediction"
  ☆20Updated 3 years ago
• Logan-Lin / TALE
  Implementation code for the Time-Aware Location Embedding (TALE) model, proposed in the TKDE paper "Pre-Training Time-Aware Location Embe…
  ☆16Updated last year
• SonghuaHu-UMD / MultiSTGraph
  A Multi-graph Multi-head Adaptive Temporal Graph Convolutional Network
  ☆10Updated 2 years ago
• trainingl / STG4Traffic
  Code of “STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction”.
  ☆76Updated 4 months ago
• Kaimaoge / IGNNK
  ☆125Updated 2 years ago
• FIBLAB / MoveSim
  [KDD 2020 (AI for COVID-19)] Learning to Simulate Human Mobility
  ☆50Updated 3 years ago
• Curb-GAN / Curb-GAN
  The codes and data of paper "Curb-GAN: Conditional Urban Traffic Estimation through Spatio-Temporal Generative Adversarial Networks"
  ☆34Updated 5 years ago
• deepkashiwa20 / Urban_Concept_Drift
  [CIKM 2023] MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation
  ☆25Updated 2 years ago
• RobinLu1209 / ST-GFSL
  ☆46Updated 3 years ago
• Evens1sen / Deep-NYC-Taxi-Bike
  The repo for the ITSC 2022 paper "Forecasting Regional Multimodal Transportation Demand with Graph Neural Networks: An Open Dataset"
  ☆22Updated 2 years ago
• square-coder / STGODE
  Spatial-Temporal Graph ODE Neural Network
  ☆122Updated 3 years ago
• wanhuaiyu / ASTGNN
  ☆16Updated 3 years ago
• kevin-xuan / FOGS
  [IJCAI'2022] FOGS: First-Order Gradient Supervision with Learning-based Graph for Traffic Flow Forecasting
  ☆28Updated 2 years ago
• NickHan-cs / Spatio-Temporal-Data-Mining-Survey
  Paper & Code & Dataset Collection of Spatial-Temporal Data Mining.
  ☆136Updated last year
• liuxu77 / STGCL
  When Do Contrastive Learning Signals Help Spatio-Temporal Graph Forecasting? (SIGSPATIAL 2022)
  ☆45Updated 3 years ago
• YihongT / DASTNet
  [CIKM 2022] Source codes of CIKM2022 Full Paper "Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Tra…
  ☆50Updated 2 years ago
• AprLie / TrafficStream
  ☆49Updated 3 years ago
• gorgen2020 / DVGNN
  ☆27Updated 3 months ago
• aptx1231 / Awesome-Spatio-Temporal-Representation-Learning
  Summary of Spatio-Temporal Representation Learning Models.
  ☆78Updated 2 years ago
• tsinghua-fib-lab / KSTDiff-Urban-flow-generation
  Official implementation of "Towards Generative Modeling of Urban Flow through Knowledge-enhanced Denoising Diffusion"(SIGSPATIAL'23)
  ☆26Updated last year
• tsinghua-fib-lab / OD_benckmark
  The benchmark related to the survey: An Interdisciplinary Survey on Origin-destination Flows Modeling: Theory and Techniques
  ☆33Updated 2 years ago