Self-/Unsupervised GNN Training

▬▬ Papers/Sources ▬▬▬▬▬▬▬
- Molecular Pre-Training Evaluation: https://arxiv.org/pdf/2207.06010.pdf
- Latent Space Image: https://arxiv.org/pdf/2206.08005.pdf
- Survey Xie et al.: https://arxiv.org/pdf/2102.10757.pdf
- Survey Liu et al.: https://arxiv.org/pdf/2103.00111.pdf
- Graph Autoencoder, Kipf/Welling: https://arxiv.org/pdf/1611.07308.pdf
- GraphCL: https://arxiv.org/pdf/2010.13902.pdf
- Deep Graph Infomax: https://arxiv.org/pdf/1809.10341.pdf
- InfoGraph: https://openreview.net/pdf?id=r1lfF2NYvH

▬▬ Used Icons ▬▬▬▬▬▬▬▬▬▬
All Icons are from flaticon: https://www.flaticon.com/authors/freepik

▬▬ Used Music ▬▬▬▬▬▬▬▬▬▬▬
Music from Uppbeat (free for Creators!):
https://uppbeat.io/t/mountaineer/autumn-sun
License code: EHK2BNGUHRZX1CXK

▬▬ Timestamps ▬▬▬▬▬▬▬▬▬▬▬
00:00 Introduction
00:20 Applications
01:48 Unsupervised Learning on Graphs
02:28 Self-Supervised Learning
03:19 Overview SSL on Graphs
04:44 Graph/Node-level
05:16 Reconstruction Approaches
07:10 Predictive / Task Generation Approaches
08:12 Contrastive Approaches
10:51 Comments on Similarity
11:30 Final Remarks

▬▬ Support me if you like ?
►Website: https://deepfindr.github.io/
►Support me on Patreon: https://bit.ly/2Wed242
►Buy me a coffee on Ko-Fi: https://bit.ly/3kJYEdl
►Coursera: https://imp.i384100.net/b31QyP
►Link to this channel: https://bit.ly/3zEqL1W
►E-Mail: [email protected]

▬▬ My equipment ?
- Microphone: https://amzn.to/3DVqB8H
- Microphone mount: https://amzn.to/3BWUcOJ
- Monitors: https://amzn.to/3G2Jjgr
- Monitor mount: https://amzn.to/3AWGIAY
- Height-adjustable table: https://amzn.to/3aUysXC
- Ergonomic chair: https://amzn.to/3phQg7r
- PC case: https://amzn.to/3jdlI2Y
- GPU: https://amzn.to/3AWyzwy
- Keyboard: https://amzn.to/2XskWHP
- Bluelight filter glasses: https://amzn.to/3pj0fK2