Graph Neural Network Project Update! (I'm coding GAT from scratch)

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A short update on some of my previous projects as well as my current project: the Graph Attention Network (GAT).

You'll learn about:
✔️My previous deep learning projects
✔️Some of the challenges I faced implementing GAT

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⌚️ Timetable:

0:00 My previous deep learning projects
2:10 GAT
3:20 Profiling three/four different GAT implementations
5:10 Profiling different sparse formats (COO, LIL, CSR, ...)
6:10 t-SNE, UMAP
6:30 Patreon shoutout
6:45 Love you folks

Credits: some of the images I used belong to other creators.
I created this video for purely educational purposes without the goal of monetizing it.

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#graphattentionnetwork #projectupdate #deeplearning
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Last part always gets me :D
Keep Learning Deep

apocalypt
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Thank you for sharing the applications which makes it interesting and gives an idea of where we can use it. Can you please also make a video on graph embedding (unsupervised) and its application? I can think of three cases: graph node embedding, graph edge embedding, the entire graph embedding.

jaydeepchakraborty
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and i am really interested in your journey :D mostly in the way how you got your expertise :D it can be very inspiring and i think it could help people doing their own way!

tobiasarndt
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Will you share the list of learning resources you used?

kushajveersingh