Converting a Tabular Dataset to a Temporal Graph Dataset for GNNs

DeepFindr · Beginner ·📄 Research Papers Explained ·3y ago
▬▬ Code ▬▬▬▬▬ Colab Notebook: https://colab.research.google.com/drive/1_eR7DXBF3V4EwH946dDPOxeclDBeKNMD?usp=sharing ▬▬ Used Music ▬▬▬▬▬▬▬▬▬▬▬ Music from Uppbeat (free for Creators!): https://uppbeat.io/t/ra/glowing License code: VCV7HTCWOOON7WAS ▬▬ Used Icons ▬▬▬▬▬▬▬▬▬▬▬ All Icons are from Freepic (flaticon) ▬▬ Timestamps ▬▬▬▬▬▬▬▬▬▬▬ 00:00 Introduction 00:15 Temporal Graph Dataset 01:14 NYC Bikers Dataset 02:04 General requirements for Temporal Graphs 05:31 Dividing the Dataframe into Intervals 07:22 Static / Dynamic components in a graph 08:30 Difficulties with purely dynamic graphs 09:00…
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Chapters (17)

Introduction
0:15 Temporal Graph Dataset
1:14 NYC Bikers Dataset
2:04 General requirements for Temporal Graphs
5:31 Dividing the Dataframe into Intervals
7:22 Static / Dynamic components in a graph
8:30 Difficulties with purely dynamic graphs
9:00 Node features
9:48 Static edges
11:00 Dynamic edges / edge_features
12:27 Dynamic Labels
13:50 Iterating over the time range
14:25 Some caveats in this dataset
15:05 Dynamic edges / edge features
15:42 Labels / Label mask
16:16 Putting it together
17:35 Final words

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