Graph convolutional networks (GCN)


Topic | v1 | created by janarez |
Description

Generalization of neural networks to arbitrary graphs.


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a subtopic of Deep learning

Deep learning (also known as deep structured learning) is part of a broader family of machine learnin...

uses PyTorch geometric

PyTorch Geometric (PyG) is a geometric deep learning extension library for PyTorch. It consists of...

uses Spektral

Spektral is a Python library for graph deep learning, based on the Keras API and TensorFlow 2. The ma...


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is assesed in How powerful are Graph Convolutions? (review of Kipf & Welling, 2016)

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This post is about a paper that has just come out recently on practical generalizations of convolutio...

is treated in Graph convolutional networks

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Many important real-world datasets come in the form of graphs or networks: social networks, knowledge...

is treated in Geometric Deep Learning

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This website represents a collection of materials in the field of Geometric Deep Learning. We collect...

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