https://github.com/lestherll/gnns
Notes for learning GNNS
https://github.com/lestherll/gnns
Last synced: 8 months ago
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Notes for learning GNNS
- Host: GitHub
- URL: https://github.com/lestherll/gnns
- Owner: lestherll
- Created: 2023-03-02T01:50:30.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2023-03-06T20:29:13.000Z (over 3 years ago)
- Last Synced: 2025-01-16T14:45:56.387Z (over 1 year ago)
- Language: Jupyter Notebook
- Size: 6.43 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Graph Neural Network (GNN) Notes
Collection of notebooks, scripts, and resources for learning GNNs.
## Resources
### Courses
- [CS224W: Machine Learning with Graphs (Winter 2023)](http://web.stanford.edu/class/cs224w/) by Stanford University
- [ESE 5140: Graph Neural Networks (Fall 2020)](https://gnn.seas.upenn.edu/) by University of Pennsylvania
- [COMP 776: Graph Representation Learning (Winter 2020)](https://cs.mcgill.ca/~wlh/comp766/syllabus.html) by Hamilton
- [Graph Neural Network Course](https://github.com/mlabonne/graph-neural-network-course) by Labonne
### Books
- [Graph Neural Networks](https://graph-neural-networks.github.io/) by Wu et al.
- [Graph Representation Learning](https://www.cs.mcgill.ca/~wlh/grl_book/) by Hamilton
### Papers
- [Semi-Supervised Classification with Graph Convolutional Networks](https://arxiv.org/pdf/1609.02907.pdf) by Kipf and Welling
- [How Powerful are Graph Neural Networks](https://arxiv.org/pdf/1810.00826.pdf) by Xu et al.
- [DeepWalk: Online Learning of Social Representations](https://arxiv.org/pdf/1403.6652.pdf) by Perozzi et al.
- [node2vec: Scalable Feature Learning for Networks](https://arxiv.org/pdf/1607.00653.pdf) by Grover and Leskovec
- [Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec](https://arxiv.org/pdf/1710.02971.pdf) by Qiu et al.
- [Graph Neural Networks: A Review of Methods and Applications](https://arxiv.org/pdf/1812.08434.pdf) by Zhou et al.
- [A Practical Tutorial on Graph Neural Network](https://arxiv.org/pdf/2010.05234.pdf) by Ward et al.
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### Blogs
- [Thomas Kipf](https://tkipf.github.io/graph-convolutional-networks/)
- [A Gentle Introduction to Graph Neural Networks](https://distill.pub/2021/gnn-intro/)
- [Understanding Convolutions on Graphs](https://distill.pub/2021/understanding-gnns/)
- [A Comprehensive Introduction to Graph Neural Networks (GNNs)](https://www.datacamp.com/tutorial/comprehensive-introduction-graph-neural-networks-gnns-tutorial)
### Repos
- [Awesome Graph Neural Networks](https://github.com/GRAND-Lab/Awesome-Graph-Neural-Networks)
- [GNNPapers](https://github.com/thunlp/GNNPapers)