Task 2: Node Clustering in Graphs (20 Marks)
Description
You are given a graph, and you are required to perform the node classification in this
graph dataset,
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You are given an A2_code.ipynb file in which a node clustering task is performed on
graph data. Your task is to prepare a video presentation covering the following:
1. An overview of the dataset used in the code and the task objective. In this part of
the presentation, you should first describe the dataset used in the code and explain
its main components: i.e., nodes, edges and the information modelled in the graph.
Then, you should highlight what node clustering is and how it can be useful in the
dataset at hand.
2. Perform a detailed results analysis on the outputs of the codes of the notebook file.
In this part, you should discuss what are the observed clusters and what is the
quality of the clustering model.
Note: you do not need to run the code as all the outputs are already included in the
notebook file. But you can run it if it helps you to better understand it but please note that
it may take some time to run.
Submission:
You should prepare 5-10 slides in Microsoft PowerPoint or Google Slides and then record your presentation on top of the slides and
submit it on Moodle.
Hint: you should allocate 30%-40% of your presentation in the first part of this task (i.e., describing the task and dataset) and 60%-70%
of your presentation to the results analysis part.
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