Alternatives and similar repositories for ASeer:

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

• XDZhelheim / HimNet
  [KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".
  ☆45Updated 6 months ago
• LiuAoyu1998 / STAMT
  An efficient spatial-temporal transformer with temporal aggregation and spatial memory for traffic forecasting
  ☆21Updated 10 months ago
• idea-iitd / Frigate
  ☆15Updated last year
• tongnie / NexuSQN
  Repository for ''Contextualizing MLP-Mixers Spatiotemporally for Urban Data Forecast at Scale''
  ☆14Updated 10 months ago
• LMissher / PatchSTG
  [SIGKDD'2025] Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective
  ☆32Updated 2 months ago
• zhyliu00 / TPB
  Code for CIKM'23 "Cross-city Few-shot Traffic Forecasting via Traffic Pattern Bank"
  ☆19Updated last year
• gorgen2020 / DVGNN
  ☆23Updated last year
• JLDeng / SCNN
  [TKDE 2024] Official Code of the paper "Disentangling Structured Components: Towards Adaptive, Interpretable and Scalable Time Series For…
  ☆26Updated 8 months ago
• LMissher / STWave
  [ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks
  ☆82Updated 11 months ago
• zzyy0929 / KDD23-CauSTG
  The appendix and core code of model CauSTG, for accepted paper in KDD 2023.
  ☆10Updated last year
• razvanc92 / ST-WA
  ☆19Updated 3 years ago
• tongnie / ImputeFormer
  [KDD 2024] "ImputeFormer: Low Rankness-Induced Transformers for Generalizable Spatiotemporal Imputation"
  ☆38Updated last month
• hqh0728 / CrossGNN
  The implementation Code of CrossGNN: Confronting Noisy Multivariate Time Series Via Cross Interaction Refinement
  ☆30Updated last year
• LiuAoyu1998 / STIDGCN
  Spatial–Temporal Dynamic Graph Convolutional Network With Interactive Learning for Traffic Forecasting
  ☆57Updated 4 months ago
• XDZhelheim / Torch-MTS
  My personal PyTorch framework for multivariate time series forecasting.
  ☆86Updated 2 weeks ago
• trainingl / STG4Traffic
  Code of “STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction”.
  ☆66Updated 8 months ago
• sqlcow / TITAN
  The offical code for 《A Time Series is Worth Five Experts: Heterogeneous Mixture of Experts for Traffic Flow Prediction》
  ☆21Updated 5 months ago
• trainingl / AFDGCN
  Code of “Dynamic Graph Convolutional Network with Attention Fusion for Traffic Flow Prediction”.
  ☆15Updated 10 months ago
• usail-hkust / BigST
  ☆18Updated 4 months ago
• zhengchuanpan / INCREASE
  INCREASE: Inductive Graph Representation Learning for Spatio-Temporal Kriging
  ☆15Updated last year
• chenxiaodanhit / BiTGraph
  The code for Biased Temporal Convolution Graph Network for Time Series Forecasting with Missing Values.
  ☆23Updated 6 months ago
• deepkashiwa20 / MegaCRN
  [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"
  ☆112Updated last year
• deepkashiwa20 / Urban_Concept_Drift
  [CIKM 2023] MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation
  ☆23Updated last year
• wenhaomin / DiffSTG
  Code for DiffSTG
  ☆64Updated last year
• kevin-xuan / FOGS
  [IJCAI'2022] FOGS: First-Order Gradient Supervision with Learning-based Graph for Traffic Flow Forecasting
  ☆26Updated last year
• LMZZML / PriSTI
  ☆80Updated last year
• liuxu77 / STGCL
  When Do Contrastive Learning Signals Help Spatio-Temporal Graph Forecasting? (SIGSPATIAL 2022)
  ☆40Updated 2 years ago
• TrustAGI-Lab / MTGODE
  [TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".
  ☆80Updated 2 years ago
• YuanYuan98 / UniFlow
  ☆11Updated 3 months ago