zxj32 / GCN-GRU
Deep Learning for Predicting Dynamic Uncertain Opinions in Network Data
☆28Updated 5 years ago
Alternatives and similar repositories for GCN-GRU:
Users that are interested in GCN-GRU are comparing it to the libraries listed below
- ☆47Updated 2 years ago
- The code of AAAI2021 paper of HGCN for Traffic Forecasting☆93Updated 2 years ago
- Code for "DyGCN: Dynamic Graph Embedding with Graph Convolutional Network"☆38Updated 11 months ago
- ☆42Updated 3 years ago
- Spatio-temporal modeling 论文列表(主要是graph convolution相关)☆23Updated 5 years ago
- The pytorch implementation of ST-GRAT: A Novel Spatio-temporal Graph Attention Network for Accurately Forecasting Dynamically Changing Ro…☆42Updated 3 years ago
- The task is to restate a thesis and redo the experiment following the instructions in the paper.☆70Updated 4 years ago
- ☆25Updated 4 years ago
- ☆72Updated 2 years ago
- Spatiotemporal Adaptive Gated Graph Convolution Network for Urban Traffic Flow Forecasting☆70Updated 4 years ago
- PyTorch implementation of STGCN☆73Updated 5 years ago
- ☆41Updated 3 years ago
- PyTorch implementation of Diffusion Convolutional Recurrent Neural Network☆49Updated 4 years ago
- THAN: Multi-Modal Transportation Recommendation with Heterogeneous Graph Attention Networks☆12Updated 4 months ago
- Modifications to Graph Wavenet☆102Updated 5 years ago
- MetaST for WWW 2019☆52Updated 4 years ago
- [CIKM'21] Spatio-Temporal-Categorical Graph Neural Networks for Fine-Grained Multi-Incident Co-Prediction☆17Updated 3 years ago
- The codes and data of paper "Matrix Factorization for Spatio-Temporal Neural Networks with Applications to Urban Flow Prediction"☆26Updated last year
- GCN-GAN: A Non-linear Temporal Link Prediction Model for Weighted Dynamic Networks☆36Updated 5 years ago
- Official Implementation of AdaGCN (ICLR 2021)☆61Updated 3 years ago
- Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks☆75Updated 7 months ago
- ☆53Updated 5 years ago
- PyTorch implementation of "Graph Convolutional Networks for Graphs Containing Missing Features"☆47Updated last year
- ☆60Updated 4 years ago
- An end-to-end deep learning model for spatial-temporal prediction☆34Updated 3 years ago
- ☆49Updated 2 years ago
- Dynamic Switch-Attention Network☆20Updated 3 years ago
- codes of Deep Spatio-Temporal Graph Convolutional Network for Traffic Accident Prediction☆70Updated 2 years ago
- Source code for CIKM 2019 paper "Temporal Network Embedding with Micro- and Macro-dynamics"☆37Updated 3 years ago
- Reproducing the results of the paper Continuous-time Dynamic Network Embeddings☆30Updated 5 years ago