HeapHop30 / graph-attention-nets

Implementation of MoNet (mixture model CNN) and GAT (Graph Attention Network) tested on MNIST and Cora datasets using Tensorflow 2.0.

Graph Attention Neural Networks

Geometric Deep Learning, course assignment - USI, 2019

Alessia Ruggeri

This project was implemented as a university assignment for the course of Geometric Deep Learning at Università della Svizzera Italiana.

Implemenation of MoNet (mixture model CNN) and GAT (Graph Attention Network) tested on MNIST and Cora datasets using Tensorflow 2.0.

MoNet: https://arxiv.org/pdf/1611.08402.pdf GAT: https://arxiv.org/pdf/1710.10903.pdf