leilin-research / GCGRNNLinks
Graph Convolutional Neural Networks with Data-driven Graph Filter (GCNN-DDGF)
☆32Updated 5 years ago
Alternatives and similar repositories for GCGRNN
Users that are interested in GCGRNN are comparing it to the libraries listed below
Sorting:
- Attentive Traffic Flow Machines☆58Updated 5 years ago
- ☆94Updated 3 years ago
- The codes and data of paper "Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning"☆212Updated 2 years ago
- [AAAI 2019] DeepSTN+: Context-aware Spatial-Temporal Neural Network for Crowd Flow Prediction in Metropolis☆66Updated 5 years ago
- Useful resources for traffic prediction, including popular papers, datasets, tutorials, toolkits, and other helpful repositories.☆143Updated 10 months ago
- The task is to restate a thesis and redo the experiment following the instructions in the paper.☆71Updated 4 years ago
- ☆125Updated 2 years ago
- PyTorch implementation of STGCN☆77Updated 5 years ago
- Modifications to Graph Wavenet☆108Updated 5 years ago
- Code snippets of ST-ResNet by PyTorch☆68Updated 6 years ago
- Code of STFGNN@AAAI-2021 (Spatial-Temporal/ Traffic data forecasting)☆225Updated 4 years ago
- GMAN: A Graph Multi-Attention Network for Traffic Prediction (GMAN, https://fanxlxmu.github.io/publication/aaai2020/) was accepted by AAA…☆503Updated 3 years ago
- [TKDD 2023] Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution☆314Updated 4 years ago
- Reconstruction of DeepST☆107Updated 5 years ago
- This repository provides an open source implementation of the Spatio-Temporal GAT introduced by Zhang et al in "Spatial-Temporal Graph At…☆104Updated 2 years ago
- [AAAI'19] Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting (Pytorch Replication)☆94Updated 4 years ago
- Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using hist…☆302Updated last year
- This project is a collection of recent research in areas such as new infrastructure and urban computing, including white papers, academic…☆247Updated 2 years ago
- ☆22Updated 7 years ago
- A collection of research on spatio-temporal data mining☆157Updated 9 months ago
- Implementation of Graph Muti-Attention Network with PyTorch☆170Updated 2 years ago
- A TensorFlow Implementation of Deep Spatio-Temporal Residual Networks (ST-ResNet): https://arxiv.org/abs/1610.00081☆111Updated 4 years ago
- AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting☆425Updated 5 years ago
- Diffusion Convolutional Recurrent Neural Network Implementation in PyTorch☆523Updated last year
- ☆49Updated 5 years ago
- The code of AAAI2021 paper of HGCN for Traffic Forecasting☆97Updated 3 years ago
- code for "Physical-Virtual Collaboration Graph Network for Station-Level Metro Ridership Prediction"☆46Updated 4 years ago
- ☆42Updated 3 years ago
- Code for our Spatiotemporal Dynamic Network☆293Updated 6 years ago
- Spatio-temporal modeling 论文列表（主要是graph convolution相关)☆24Updated 5 years ago