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