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https://github.com/aryashah2k/gnn_gcn_gat

Repository for my talk on Graph Neural Network Papers: GNN, GCN, GAT at Asian Institute of Technology's RTML Lecture for the Class of January Semester, 2025

https://github.com/aryashah2k/gnn_gcn_gat

Science Score: 46.0%

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Last synced: 7 months ago · JSON representation

Repository

Repository for my talk on Graph Neural Network Papers: GNN, GCN, GAT at Asian Institute of Technology's RTML Lecture for the Class of January Semester, 2025

Basic Info
  • Host: GitHub
  • Owner: aryashah2k
  • License: mit
  • Language: Jupyter Notebook
  • Default Branch: main
  • Homepage:
  • Size: 10.3 MB
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  • Watchers: 1
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Created about 1 year ago · Last pushed about 1 year ago
Metadata Files
Readme License

README.md

GNN-GCN-GAT

|Node-worthy Meme(Pun Intended)| |------------------------------| |spoderman|

This repository holds the code-from-scratch implementations for the following three papers under the the domain of Graph Machine Learning:

|Paper|Link| |-----|----| |Graph Neural Network(GNN)|Read Paper| |Graph Convolutional Neural(GCN) Network|Read Paper| |Graph Attention Network(GAT)|Read Paper|

Here's a quick access to each notebook implementations:

|GNN|GCN|GAT| |---|---|---| |01IntroductiontoGNNs|<a href="https://github.com/aryashah2k/GNNGCNGAT/blob/main/GCN/01GNNFoundations.ipynb">RECAPGNNFoundations|<a href="https://github.com/aryashah2k/GNNGCNGAT/blob/main/GAT/01IntroductiontoGNNsandGATs.ipynb">RECAP01IntroductiontoGNNsandGATs| |02MathematicalFoundations|02GCNImplementation|02GATImplementationAnalysis.ipynb| |<a href="https://github.com/aryashah2k/GNNGCNGAT/blob/main/GNN/03GNNModelArchitecture.ipynb">03GNNModelArchitecture|<a href="https://github.com/aryashah2k/GNNGCNGAT/blob/main/GCN/03GCNAnalysisExtensions.ipynb">03GCNAnalysisExtensions|-| |<a href="https://github.com/aryashah2k/GNNGCNGAT/blob/main/GNN/04InformationDiffusionPart1.ipynb">04InformationDiffusionPart1|-|-| |<a href="https://github.com/aryashah2k/GNNGCNGAT/blob/main/GNN/04InformationDiffusionPart2.ipynb">04InformationDiffusionPart2|-|-| |<a href="https://github.com/aryashah2k/GNNGCNGAT/blob/main/GNN/04AInformationDiffusionNodeClassification.ipynb">[Application]04AInformationDiffusionNodeClassification|-|-| |<a href="https://github.com/aryashah2k/GNNGCNGAT/blob/main/GNN/04BInformationDiffusionGraphClassification.ipynb">[Application]04BInformationDiffusionGraphClassification|-|-| |<a href="https://github.com/aryashah2k/GNNGCNGAT/blob/main/GNN/05LearningAlgorithm.ipynb">05Learning_Algorithm.ipynb|-|-|

Link to the digital version of the handout distributed in class: Click Here

References

|GNNs in General|GCNs|GATs| |---------------|----|----| |Graph Cheatsheet|Understanding Convolutions on Graphs|Papers With Code - GAT| |GNN Cheatsheet|nitinnilesh/Spelled-Out-Intro-to-Graph-Convolution-Networks|gat-paper-explained| |ENCCS Blog Page|-|Understanding GAT| |A Gentle Introduction to Graph Neural Networks|-|GAT Summary| |dsgiitr/graph_nets|-|-| |tutorial-on-graph-neural-networks-for-computer-vision-and-beyond|-|-| |Aleksa's G.O.A.T Blog|-|-|

|Youtube Videos| |--------------| |How to get started with Graph ML? (Blog walkthrough)| |Graph Neural Networks - a perspective from the ground up| |Graph Convolutional Networks (GCN): From CNN point of view| |An Introduction to Graph Neural Networks: Models and Applications| |Introduction to graph neural networks (made easy!)| |The spelled-out intro to Graph Convolutional Network (GCN)| |Graph Convolutional Networks (GCNs) made simple| |Graph Convolutional Networks (GCN) | GNN Paper Explained| |Graph Convolutional Network (GCN) Paper Explained| |Graph Convolutional Networks| |Graph Convolutional Networks using only NumPy| |Graph Convolutional Networks - Oxford Geometric Deep Learning| |GCN Playlist| |Understanding Graph Attention Networks| |Graph Attention Networks (GAT) | GNN Paper Explained| |Pytorch Geometric tutorial: Graph attention networks (GAT) implementation| |GAT: Graph Attention Networks (Graph ML Research Paper Walkthrough)|

Acknowledgements

Special Thanks to Dr. Chaklam Silpasuwanchai for providing this opportunity to present these papers. I had a wonderful time learning something completely new compared to our usual CNNs and Transformers!

Owner

  • Name: Arya Shah
  • Login: aryashah2k
  • Kind: user
  • Location: Mumbai, India
  • Company: IIT Gandhinagar

Artificial Intelligence Engineer & Researcher

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