gatv2

There are 9 repositories under gatv2 topic.

  • tech-srl/how_attentive_are_gats

    Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)

    Language:Python32511839

  • XiaShan1227/GNN-Tutorial

    B站GNN教程资料

    Language:Jupyter Notebook1381016

  • zamirmehdi/GNN-Node-Regression

    Comparative Analysis of Graph Neural Networks for Node Regression on Wiki-Squirrel dataset (bachelor's Research Project)

    Language:Python8112

  • AlbertoFormaggio1/fine_tuning_classification_prediction_GNN

    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

    Language:Python0100

  • research-patelkashyap/PyTorch-GNN

    This repository consists from scratch implementation of GCN, GAT and GATv2.

    Language:Jupyter Notebook0100

  • rhfdn/HeterSUMGraph

    This repository presents and compares HeterSUMGraph and variants using GATConv, GATv2Conv and a combination of HeterSUMGraph and SummaRuNNer (using HeterSUMGraph as a sentence encoder).

    Language:Jupyter Notebook0100

  • rhfdn/radsum

    This repository presents and compares HeterSUMGraph and variants doing extractive summarization, named entity recognition or both. HeterSUMGraph and variants use GATv2Conv (from torch_geometric).

    Language:Jupyter Notebook0200

  • rhfdn/radsum_app

    A web application for extractive summarization

    Language:Python0200

  • parsa-abbasi/NodeClassification

    This repository contains the implementation of some of the popular Graph Neural Networks (GNNs) using PyTorch Geometric to solve node classification tasks.

    Language:Jupyter Notebook20