Alternatives and similar repositories for GraphST

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

• HKUDS / AutoST
  [WWW'2023] "AutoST: Automated Spatio-Temporal Graph Contrastive Learning"
  ☆65Updated last year
• HKUDS / GPT-ST
  [NeurIPS'2023] "GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks"
  ☆79Updated last year
• HKUDS / STExplainer
  [CIKM'2023] "STExplainer: Explainable Spatio-Temporal Graph Neural Networks"
  ☆46Updated last year
• HKUDS / FlashST
  [ICML'2024] "FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction"
  ☆80Updated 10 months ago
• HKUDS / EasyST
  [CIKM'2024] "EasyST: A Simple Framework for Spatio-Temporal Prediction"
  ☆18Updated 9 months ago
• LZH-YS1998 / STHSL
  [ICDE'2022] "Spatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction"
  ☆36Updated 2 years ago
• HKUDS / CL4ST
  [CIKM'2023] "CL4ST: Spatio-Temporal Meta Contrastive Learning"
  ☆21Updated last year
• HKUDS / DiffGraph
  [WSDM'2025] "DiffGraph: Heterogeneous Graph Diffusion Model"
  ☆43Updated last month
• icmpnorequest / SIGIR2024_DCHL
  Official PyTorch implementation for our SIGIR'24 paper Disentangled Contrastive Hypergraph Learning for Next POI Recommendation
  ☆24Updated 10 months ago
• cshhzhao / GCOPE
  Official implementation of 'All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining' published i…
  ☆39Updated 8 months ago
• RongfanLi98 / SPGCL
  SPGCL: Mining Spatio-Temporal Relations via Self-Paced Graph Contrastive Learning
  ☆14Updated 2 years ago
• alexfanjn / FAGCN_PyG
  Reimplementation of AAAI21 paper "Beyond Low-frequency Information in Graph Convolutional Networks" based on PyTorch and PyTorch Geometri…
  ☆23Updated 2 years ago
• Rising0321 / HMOD
  The code of Dynamic Graph Learning Based on Hierarchical Memory for Origin-Destination Demand Prediction
  ☆14Updated 3 years ago
• slingling / MS-HGAT
  Implementation of AAAI22 paper: MS-HGAT: Memory-enhanced Sequential Hypergraph Attention Network for Information Diffusion Prediction
  ☆38Updated 2 years ago
• AndyJZhao / WSDM23-GSR
  ☆18Updated 2 years ago
• WenZhihao666 / TREND
  TREND: TempoRal Event and Node Dynamics for Graph Representation Learning. WWW-2022.
  ☆37Updated last year
• LeslieHoloway / Awesome-Hypergraph-Learning
  Papers about hypergraph, their applications, and even similar ideas.
  ☆18Updated 3 years ago
• RManLuo / GSNOP
  Official code implementation for WSDM 23 paper Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs.
  ☆34Updated 2 years ago
• KL4805 / TransGTR
  Open-source code of TransGTR.
  ☆12Updated last year
• AprLie / TrafficStream
  ☆48Updated 3 years ago
• yanweiyue / MoG
  the code of MoG
  ☆18Updated 11 months ago
• yueliu1999 / KAN4Graph
  Kolmogorov Arnold Networks (KANs) for Graph Neural Networks (GNNs) and Tasks on Graphs
  ☆61Updated 9 months ago
• wondergo2017 / DIDA
  Implementation Codes for NeurIPS22 paper "Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift"
  ☆21Updated 2 years ago
• icmpnorequest / ICASSP2024_ASTHL
  The official PyTorch implementation for 2024-ICASSP-Adaptive Spatial-Temporal Hypergraph Fusion Learning for Next POI Recommendation
  ☆10Updated 10 months ago
• juyongjiang / TrendGCN
  [CIKM 2023] This is the official source code of "TrendGCN: Enhancing the Robustness via Adversarial Learning and Joint Spatial-Temporal E…
  ☆49Updated last year
• Yifang-Qin / DisenPOI
  The pytorch implementation of DisenPOI.
  ☆19Updated last year
• HKUDS / DGNN
  [ICDE'23] "DGNN: Disentangled Graph Social Recommendation"
  ☆21Updated 2 years ago
• zjunet / DropMessage
  The implementation for DropMessage.
  ☆37Updated 2 years ago
• zepengzhang / awesome-graph-structure-learning
  A collection of papers on Graph Structural Learning (GSL)
  ☆55Updated last year
• TaiLvYuanLiang / HGWaveNet
  ☆12Updated last year