Alternatives and similar repositories for ICLR23-GReTo

Users that are interested in ICLR23-GReTo are comparing it to the libraries listed below

• AprLie / TrafficStream
  ☆49Updated 3 years ago
• zzyy0929 / KDD23-CauSTG
  The appendix and core code of model CauSTG, for accepted paper in KDD 2023.
  ☆12Updated 2 years ago
• RongfanLi98 / SPGCL
  SPGCL: Mining Spatio-Temporal Relations via Self-Paced Graph Contrastive Learning
  ☆14Updated 2 years ago
• RobinLu1209 / ST-GFSL
  ☆46Updated 3 years ago
• djm209 / HSTGODE
  HSTGODE code
  ☆10Updated 2 years ago
• zyplanet / TPGNN
  ☆32Updated last year
• square-coder / STGODE
  Spatial-Temporal Graph ODE Neural Network
  ☆125Updated 4 years ago
• yokifly / ASTTN_pytorch
  ☆40Updated 2 years ago
• tamps2gcnets / TAMP_S2GCNets
  ☆19Updated 3 years ago
• KimMeen / SL-GAD
  [TKDE 2021] A PyTorch implementation of "Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection".
  ☆48Updated 4 years ago
• LZH-YS1998 / STHSL
  [ICDE'2022] "Spatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction"
  ☆41Updated 3 years ago
• XDZhelheim / HimNet
  [KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".
  ☆70Updated last year
• TrustAGI-Lab / ANEMONE
  [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".
  ☆49Updated 4 years ago
• HKUDS / AutoST
  [WWW'2023] "AutoST: Automated Spatio-Temporal Graph Contrastive Learning"
  ☆68Updated 2 years ago
• juyongjiang / TrendGCN
  [CIKM 2023] This is the official source code of "TrendGCN: Enhancing the Robustness via Adversarial Learning and Joint Spatial-Temporal E…
  ☆50Updated 2 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
• jbdj-star / st
  ☆42Updated 3 years ago
• yuyolshin / PGCN
  ☆19Updated 2 years ago
• D10Andy / SAD
  ☆31Updated 2 years ago
• trainingl / STG4Traffic
  Code of “STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction”.
  ☆78Updated 6 months ago
• alexfanjn / FAGCN_PyG
  Reimplementation of AAAI21 paper "Beyond Low-frequency Information in Graph Convolutional Networks" based on PyTorch and PyTorch Geometri…
  ☆24Updated 3 years ago
• fannie1208 / CaNet
  [WWW2024 Oral] "Graph Out-of-Distribution Generalization via Causal Intervention”.
  ☆27Updated last year
• kevin-xuan / FOGS
  [IJCAI'2022] FOGS: First-Order Gradient Supervision with Learning-based Graph for Traffic Flow Forecasting
  ☆28Updated 2 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
• dcliu99 / MSDR
  Implementation for MSDR
  ☆25Updated 3 years ago
• jeongwhanchoi / STG-NCDE
  "Graph Neural Controlled Differential Equations for Traffic Forecasting", AAAI 2022
  ☆164Updated last year
• jweihe / ADA-GAD
  Official PyTorch implementation for the paper ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection (AAAI 2024).
  ☆29Updated 8 months ago
• alipay / RGSL
  ☆44Updated 3 years ago
• liuxu77 / STGCL
  When Do Contrastive Learning Signals Help Spatio-Temporal Graph Forecasting? (SIGSPATIAL 2022)
  ☆44Updated 3 years ago
• KellyGong / SparseGAD
  ☆19Updated 2 years ago