Code for the paper "How Attentive are Graph Attention Networks?"

Last update: Dec 29, 2022

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Overview

How Attentive are Graph Attention Networks?

This repository is the official implementation of How Attentive are Graph Attention Networks?.

The PyTorch Geometric implementation of the new GATv2 layer is in this main directory.

The rest of the code for reproducing the experiments in the paper will be made publicly available.

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Code for the paper "How Attentive are Graph Attention Networks?"

Related tags

Overview

How Attentive are Graph Attention Networks?

Owner

Machine learning and Deep learning models, deploy on telegram (the best social media)

Gesture-Volume-Control - This Python program can adjust the system's volume by using hand gestures

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Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks

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Code for the paper: Adversarial Machine Learning: Bayesian Perspectives

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Import Python modules from dicts and JSON formatted documents.

This is a virtual picture dragging application. Users may virtually slide photos across the screen. The distance between the index and middle fingers determines the movement. Smaller distances indicate click and motion, whereas bigger distances indicate only hand movement.

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