Bbaskyy

Bbaskyy's Stars

• raoyongming/HorNet

  [NeurIPS 2022] HorNet: Efficient High-Order Spatial Interactions with Recursive Gated Convolutions

  Language:Python33038

• lygztq/SEAggregation

  Official DGL implementation of "Rethinking High-order Graph Convolutional Networks"

  Language:Python331

• LuChengTHU/mle_score_ode

  Official code for "Maximum Likelihood Training for Score-Based Diffusion ODEs by High-Order Denoising Score Matching" (ICML 2022)

  Language:Python605

• shib0li/THIS-ODE

  Decomposing Temporal High-Order Interactions via Latent ODEs

  Language:Python61

• FengMingquan-sjtu/SINGER

  Language:Python1

• syrGitHub/TFPS

  The code for TFPS

  Language:Python181

• mb-Ma/HiSTGNN

  code for HiSTGNN: Hierarchical Graph Neural Networks for Weather Forecasting, Information Sciences

  142

• geopanag/pandemic_tgnn

  Language:Python4716

• Kongwy5689/STPGNN

  Language:Python191

• YuanAHa/PIGNN

  Language:Python41

• kimiyoung/planetoid

  Semi-supervised learning with graph embeddings

  Language:Python906303

• goaheand/AdapGL-pytorch

  Language:Python6410

• YimiAChack/STDDE

  Official implementation for "Unveiling Delay Effects in Traffic Forecasting: A Perspective from Spatial-Temporal Delay Differential Equations"

  Language:Python144

• LeronQ/STGCN-Pytorch

  Paper:Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting . Implementation of spatio-temporal graph convolutional network with PyTorch

  Language:Python13921

• HySonLab/pandemic_tgnn

  Predicting COVID-19 pandemic by spatio-temporal graph neural networks https://arxiv.org/abs/2305.07731

  Language:Python123

• deepkashiwa20/MepoGNN

  [ECMLPKDD22] MepoGNN: Metapopulation Epidemic Forecasting with Graph Neural Networks

  Language:Python252

• littlecherry-art/DASTGN

  Language:Python7

• Xiefeng69/EpiGNN

  [ECML-PKDD2022] EpiGNN: Exploring Spatial Transmission with Graph Neural Network for Regional Epidemic Forecasting

  Language:Python255

• Emory-Melody/EpiLearn

  A Python Library for Machine Learning in Epidemic Data Modeling and Analysis

  Language:Python395

• ethanfetaya/NRI

  Neural relational inference for interacting systems - pytorch

  Language:Python753157

• liyaguang/DCRNN

  Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow

  Language:Python1.3k404

• jeongwhanchoi/STG-NCDE

  "Graph Neural Controlled Differential Equations for Traffic Forecasting", AAAI 2022

  Language:Python14325

• guoshnBJTU/ASTGNN

  This is a Pytorch implementation of ASTGNN. Now the corresponding paper is available online at https://ieeexplore.ieee.org/document/9346058.

  Language:Python21078

• guoshnBJTU/ASTGCN-2019-pytorch

  Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version

  Language:Python639160

• zbliu98/GRAM-ODE

  Code for the TMLR 2023 paper "GRAM-ODE: Graph-based Multi-ODE Neural Networks for Spatio-Temporal Traffic Forecasting"

  Language:Python163

• microsoft/StemGNN

  Spectral Temporal Graph Neural Network (StemGNN in short) for Multivariate Time-series Forecasting

  Language:Python536116

• djm209/HSTGODE

  HSTGODE code

  Language:Python81

• ykiiiiii/ACMP

  ACMP: Allen-Cahn Message Passing with Attractive and Repulsive Forces for Graph Neural Networks(ICLR 2023)

  Language:Python182

• wanhuaiyu/ASTGCN

  Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (ASTGCN) AAAI 2019

  Language:Python22574

• Davidham3/STSGCN

  AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting

  Language:Python382100