GCN transductive cross validation.

EFE with OpenTK. Primary used for EterPack plugin development.

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

GNN News Fake Detection model with implementation of GCN Convolution layer

This repository is the implementation of the paper Semi-Supervised Classification With Graph Convolutional Networks (aka GCN) by Kipf et al., ICLR 2017.

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

Pytorch implementation of skeleton-based action recognition methods

keras implement for fcn

Parallel Computing Final Project (S '21)

Final assignment of EE226 course in SJTU by Group 12

This project aims to implement the dependency-graph-convolutional-networks and dependency-graph-attention-networks for span detection from given text.

some basic graph model

📈 A repository that contains evaluation and comparation results for Deep Learning models using various Tensorflow methods in forecasting Indonesia stock market prices

Basic implementation of a Graph Convolutional Network

Singular Value Decomposition for prevention of the Graph Convolutional Network overfitting

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

GCN assignment for 11441/641/741: Machine Learning for Text and Graph-based Mining (MLTGM) offered at CMU.

Human Pose Estimation for multi-view Human Action Recognition

A notifier for reading the GCN VOEvents and blasting them out