Alternatives and similar repositories for DiskNet

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

• tsinghua-fib-lab / GPD
  The official implementation of the ICLR 24 submission entitled "Spatio-Temporal Few-Shot Learning via Diffusive Neural Network Generation…
  ☆57Updated last year
• HKUDS / GraphST
  [ICML'2023] "GraphST: Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation"
  ☆54Updated 9 months ago
• YuanYuan98 / UniFlow
  ☆17Updated 10 months ago
• tsinghua-fib-lab / Spatio-temporal-Diffusion-Point-Processes
  A diffusion-based framework for spatio-temporal point processes
  ☆74Updated last year
• HKUDS / AutoST
  [WWW'2023] "AutoST: Automated Spatio-Temporal Graph Contrastive Learning"
  ☆65Updated 2 years ago
• zbliu98 / GRAM-ODE
  Code for the TMLR 2023 paper "GRAM-ODE: Graph-based Multi-ODE Neural Networks for Spatio-Temporal Traffic Forecasting"
  ☆18Updated last year
• tsinghua-fib-lab / DeepMobility
  The official implementation of the manuscript Learning the complexity of urban mobility with deep generative collaboration network.
  ☆15Updated last year
• HKUDS / FlashST
  [ICML'2024] "FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction"
  ☆84Updated last year
• ZijieH / CG-ODE
  ☆36Updated 4 years ago
• tsinghua-fib-lab / ResInf
  This repo contains the codes and data for our Nature Communications paper: Deep learning resilience inference for complex networked syste…
  ☆53Updated 11 months ago
• square-coder / STGODE
  Spatial-Temporal Graph ODE Neural Network
  ☆118Updated 3 years ago
• Emory-Melody / Awesome-Graph-Neural-Differential-Equations
  Paper list on GNNs + Differential Equations (ODE, PDE, SDE)
  ☆38Updated 4 months ago
• Graph-Machine-Learning-Group / taming-local-effects-stgnns
  Official repository for the paper "Taming Local Effects in Graph-based Spatiotemporal Forecasting" (NeurIPS 2023)
  ☆22Updated 6 months ago
• CongWeilin / GraphMixer
  ☆102Updated last year
• HKUDS / GPT-ST
  [NeurIPS'2023] "GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks"
  ☆83Updated last year
• LZH-YS1998 / STHSL
  [ICDE'2022] "Spatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction"
  ☆39Updated 3 years ago
• LMZZML / PriSTI
  ☆90Updated last year
• HKUDS / STExplainer
  [CIKM'2023] "STExplainer: Explainable Spatio-Temporal Graph Neural Networks"
  ☆53Updated last year
• jeongwhanchoi / STG-NCDE
  "Graph Neural Controlled Differential Equations for Traffic Forecasting", AAAI 2022
  ☆160Updated last year
• RobinLu1209 / ST-GFSL
  ☆45Updated 3 years ago
• Graph-Machine-Learning-Group / sgp
  Official repository for the paper "Scalable Spatiotemporal Graph Neural Networks" (AAAI 2023)
  ☆50Updated last year
• tsinghua-fib-lab / SIRI
  The official PyTorch implementation of "Causal Learning Empowered OD Prediction for Urban Planning" (CIKM 2022).
  ☆11Updated 2 years ago
• deepkashiwa20 / MemeSTN
  WWW23-Learning Social Meta-knowledge for Nowcasting Human Mobility in Disaster
  ☆17Updated 2 years ago
• hjf1997 / STGNP
  KDD'23 --- Graph Neural Processes for Spatio-Temporal Extrapolation
  ☆35Updated 2 years ago
• TrustAGI-Lab / MTGODE
  [TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".
  ☆87Updated 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
• Graph-Machine-Learning-Group / spin
  Official repository for the paper "Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations" (NeurIPS 202…
  ☆60Updated 2 years ago
• gravins / TG-ODE
  Official reference implementation of our paper "Temporal Graph ODEs for Irregularly-Sampled Time Series" accepted at IJCAI 24
  ☆20Updated 5 months ago
• DSL-Lab / Specformer
  Transformer-based Spectral Graph Neural Networks
  ☆85Updated last year
• usail-hkust / Awesome-Causality-Inspired-GNNs
  An awesome collection of causality-inspired graph neural networks.
  ☆85Updated 10 months ago