Alternatives and similar repositories for STExplainer

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

• HKUDS / GraphST
  [ICML'2023] "GraphST: Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation"
  ☆57Updated last year
• HKUDS / GPT-ST
  [NeurIPS'2023] "GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks"
  ☆88Updated last year
• HKUDS / AutoST
  [WWW'2023] "AutoST: Automated Spatio-Temporal Graph Contrastive Learning"
  ☆68Updated 2 years ago
• HKUDS / FlashST
  [ICML'2024] "FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction"
  ☆92Updated last year
• HKUDS / CL4ST
  [CIKM'2023] "CL4ST: Spatio-Temporal Meta Contrastive Learning"
  ☆24Updated last year
• HKUDS / EasyST
  [CIKM'2024] "EasyST: A Simple Framework for Spatio-Temporal Prediction"
  ☆20Updated last year
• icmpnorequest / SIGIR2024_DCHL
  Official PyTorch implementation for our SIGIR'24 paper Disentangled Contrastive Hypergraph Learning for Next POI Recommendation
  ☆29Updated last year
• YushengZhao / DyHSL
  [ICDE 2023] Dynamic hypergraph structure learning for traffic flow forecasting
  ☆21Updated 3 years ago
• LZH-YS1998 / STHSL
  [ICDE'2022] "Spatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction"
  ☆40Updated 3 years ago
• Yifang-Qin / DisenPOI
  The pytorch implementation of DisenPOI.
  ☆23Updated 2 years ago
• icmpnorequest / ICASSP2024_ASTHL
  The official PyTorch implementation for 2024-ICASSP-Adaptive Spatial-Temporal Hypergraph Fusion Learning for Next POI Recommendation
  ☆12Updated last year
• HKUDS / DiffGraph
  [WSDM'2025] "DiffGraph: Heterogeneous Graph Diffusion Model"
  ☆64Updated 7 months ago
• HKUDS / SelfGNN
  [SIGIR'2024] "SelfGNN: Self-Supervised Graph Neural Networks for Sequential Recommendation"
  ☆69Updated last year
• HKUDS / AutoCF
  [WWW'23] "AutoCF: Automated Self-Supervised Learning for Recommendation"
  ☆50Updated last year
• trainingl / STG4Traffic
  Code of “STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction”.
  ☆81Updated 6 months ago
• HKUDS / OpenCity
  "OpenCity: Open Spatio-Temporal Foundation Models for Traffic Prediction"
  ☆137Updated last year
• Rising0321 / HMOD
  The code of Dynamic Graph Learning Based on Hierarchical Memory for Origin-Destination Demand Prediction
  ☆14Updated 3 years ago
• HKUDS / GTE
  [CIKM'2023] "GTE: How Expressive are Graph Neural Networks for Recommendation?"
  ☆21Updated 2 years ago
• RobinLu1209 / ST-GFSL
  ☆47Updated 3 years ago
• HKUDS / HGCL
  [WSDM'2023] "HGCL: Heterogeneous Graph Contrastive Learning for Recommendation"
  ☆125Updated last year
• YesLab-Code / HTGNN
  ☆67Updated 4 years ago
• Yukayo / MobGT
  [SIGSPATIAL 2023] Revisiting Mobility Modeling with Graph: A Graph Transformer Model for Next Point-of-Interest Recommendation
  ☆23Updated last year
• Graph-COM / GAD-NR
  [WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction
  ☆54Updated last year
• WenZhihao666 / TREND
  TREND: TempoRal Event and Node Dynamics for Graph Representation Learning. WWW-2022.
  ☆37Updated last year
• akaxlh / ST-SHN
  ST-SHN, IJCAI 2021
  ☆19Updated 5 years ago
• neolifer / LLM4POI
  ☆64Updated last week
• alipay / Spatio-Temporal-Hypergraph-Model
  ☆75Updated last year
• yueliu1999 / KAN4Graph
  Kolmogorov Arnold Networks (KANs) for Graph Neural Networks (GNNs) and Tasks on Graphs
  ☆66Updated last year
• CongWeilin / GraphMixer
  ☆104Updated 2 years ago
• Yifang-Qin / KBGNN
  The pytorch implementation of KBGNN
  ☆16Updated 3 years ago