cassia151,github

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

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

List of papers, code and experiments using deep learning for time series forecasting

This repository contains the code used for Predicting Patient Outcomes with Graph Representation Learning (https://arxiv.org/abs/2101.03940).

GMAN: A Graph Multi-Attention Network for Traffic Prediction (GMAN, https://fanxlxmu.github.io/publication/aaai2020/) was accepted by AAAI-2020.

Implementation of Graph Muti-Attention Network with PyTorch

Traffic Graph Convolutional Recurrent Neural Network

Learning SQL Through Doing

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

reference for thesis

Spatio-temporal modeling 论文列表（主要是graph convolution相关)

The pytorch implementation of ST-GRAT: A Novel Spatio-temporal Graph Attention Network for Accurately Forecasting Dynamically Changing Road Speed

STAN: spatio-temporal attention network for pandemic prediction using real-world evidence

Implementation of STG2Seq: Spatial-temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting

Implementation of Spatial-Temporal Graph Attention Networks for Traffic Flow Forecasting(for IJCAI 2020)

STGAT: Modeling Spatial-Temporal Interactions for Human Trajectory Prediction

Spatio-Temporal Graph Convolutional Networks

Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method

Repo containing the code for the Temporal Multiresolution Graph Network

TGN: Temporal Graph Networks

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