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.

Group Recommendation Systems with Diversity-based Clustering and Game Theory

Graph Convolutional Networks

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

A very fast and lightweight model based on graph convolutional network (GCN) for Low Light Image Enhancement (LLIE)

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

Pytorch implementation of skeleton-based action recognition methods

Depression Detection by Advanced Graph Deep Learning

Will be implementing and detailing emerging Neural network models such as GNN, Meta-Learning and Memory Augmented models that are still being actively researched and developed to overcome the traditional limitations of Deep learning

An introduction to graph neural networks with pytorch

Multi-Attention Temporal Graph Convolution Network for Traffic Flow Forecasting

An implementation of the Graph Convolution Networks for the Cora, Citeseer, PubMed dataset.

keras implement for fcn

try different opts on word context graph with GCN and GAT to obtain word embeddings.

GCN applied in a text classification context.

Parallel Computing Final Project (S '21)