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Graph neural network from initiation to progression.
gnn-for-node-classification's Introduction
Graph neural network from initiation to progression.
Graph neural network papers
Graph neural network for node classification
| Title |
Date |
Links |
First Author |
Code |
| Privacy-Preserving Graph Neural Network for Node Classification |
2020 |
CoRR |
Jun Zhou |
--- |
| Training Graph Convolutional Networks on Node Classification Task |
2020 |
blog |
Inneke Mayachita |
--- |
| Understanding Graph Convolutional Networks for Node Classification |
2020 |
blog |
Inneke Mayachita |
--- |
| DropEdge: Towards Deep Graph Convolutional Networks on Node Classification |
2020 |
ICLR |
Yu Rong |
Pytorch |
| NodeNet: A Graph Regularised Neural Network for Node Classification |
2020 |
CoRR |
Robert |
--- |
| Graph U-Nets |
2019 |
ICLR |
Hongyang Gao |
Pytorch |
| DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification |
2019 |
KDD |
Jun Wu |
code |
| Node Classification By Graph Convolutional Networ |
2018 |
blog |
Graham Ganssle |
-- |
| Diffusion-Convolutional Neural Networks |
2016 |
NIPS |
James Atwood |
--- |
Graph neural network library
| Library |
Contents |
| StellarGraph |
StellarGraph is a Python library for machine learning on graph-structured (or equivalently, network-structured) data. |
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