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https://github.com/joerg84/Graph_Powered_ML_Workshop

Material and Notebooks for the Graph Powered ML Workshop.
https://github.com/joerg84/Graph_Powered_ML_Workshop

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Material and Notebooks for the Graph Powered ML Workshop.

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README

        

# Graph Powered Machine Learning

## Slides
Slides can be found [here](https://docs.google.com/presentation/d/1lNS5O4BqGrds6BK-Od1qEA730ZLd3jiLqWI-McgeT58).

## Tutorials

* [Graph Properties](https://colab.research.google.com/github/joerg84/Graph_Powered_ML_Workshop/blob/master/Graph_properties.ipynb)
* [SPARQL](https://colab.research.google.com/github/joerg84/Graph_Powered_ML_Workshop/blob/master/Sparql.ipynb)
* [Graph Queries](https://colab.research.google.com/github/joerg84/Graph_Powered_ML_Workshop/blob/master/Graphs_Queries.ipynb)
* [Graph Analytics]( https://colab.research.google.com/github/joerg84/Graph_Powered_ML_Workshop/blob/master/Graph_Analytics.ipynb)
* [Fraud Detection]( https://colab.research.google.com/github/joerg84/Graph_Powered_ML_Workshop/blob/master/Fraud_Detection.ipynb)
* [NetworkX](https://colab.research.google.com/github/joerg84/Graph_Powered_ML_Workshop/blob/master/NetworkX.ipynb)
* [Node2Vec & Embeddings](https://colab.research.google.com/github/joerg84/Graph_Powered_ML_Workshop/blob/master/Node2Vec.ipynb)
* [Building a GCN from scratch](https://colab.research.google.com/github/joerg84/Graph_Powered_ML_Workshop/blob/master/Basic_GCN.ipynb)
* [Deep Graph Library](https://colab.research.google.com/github/joerg84/Graph_Powered_ML_Workshop/blob/master/DGL.ipynb)
* [Metadata](https://colab.research.google.com/github/joerg84/Graph_Powered_ML_Workshop/blob/master/Metadata.ipynb)

## Exercises
The exercises can be found [here](https://github.com/joerg84/Graph_Powered_ML_Workshop/tree/master/excercises), please refer to slides for logistics.