tacred-encrichment is a set of modules for supplementing the TACRED dataset with additional attributes, to be used by downstream RE neural networks

The official PyTorch implementation of the 5th IEEE/CVF CVPR Precognition Workshop paper Best Practices for 2-Body Pose Forecasting.

Diversity-based Clustering and Group Recommendation Systems: Leveraging Shapley Value and Pairwise Preference Data

recommends films to users based on the films they have seen and liked

Multi-Attention Temporal Graph Convolution Network for Traffic Flow Forecasting

Basic implementation of a Graph Convolutional Network

Empirical Research over the possible advantages of pretraining a Graph Neural Network for Classification by using Link Prediction. We used GCN, GAT and GraphSAGE with minibatch generation. Done for the Learning From Networks course taught by professor Fabio Vandin at the University of Padova

Human Pose Estimation for multi-view Human Action Recognition

Code for the paper "Spot What Matters: Learning Context Using Graph Convolutional Networks for Weakly-Supervised Action Detection"

GCN applied in a text classification context.

Parallel Computing Final Project (S '21)

Final assignment of EE226 course in SJTU by Group 12

PyTorch implementation of "Semi-Supervised Classification with Graph Convolutional Networks"

An implementation of the Graph Neural Networks for the Cora dataset

some basic graph model

The PyTorch version of GCN implemented by the paper.

Implementation of Graph Node-Feature Convolution for Representation Learning in TensorFlow

Calculating the nearest weather sensor for each traffic sensor and then merging the weather sensors' temporal data with the traffic sensors'.