Temporal Graph Networks (TGN) | GNN Paper Explained скачать в хорошем качестве

Temporal Graph Networks (TGN) | GNN Paper Explained

❤️ Become The AI Epiphany Patreon ❤️ ►   / theaiepiphany   ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ A deep dive into the temporal graph networks paper. You'll learn about: ✔️ What are dynamic graphs? ✔️ How to get a vectorized representation of time ✔️ All the nitty-gritty details behind the paper ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ ✅ https://arxiv.org/abs/2006.10637 ✅ Chris Olah on LSTMs: https://colah.github.io/posts/2015-08... ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ ⌚️ Timetable: 00:00 Dynamic graphs 03:00 Suboptimal strategies 05:30 Terminology, temporal neighborhood 07:30 High-level overview of the system 08:35 We need to go deeper 13:30 Using temporal information to sample 14:10 Information leakage and the solution 16:55 Main modules explained 21:20 Memory staleness problem 24:00 Temporal graph attention 26:00 Vector representation of time 29:15 Batch size tradeoff 31:00 Results and ablation studies 33:55 Recap of the system 36:55 Some confusing parts ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 💰 BECOME A PATREON OF THE AI EPIPHANY ❤️ If these videos, GitHub projects, and blogs help you, consider helping me out by supporting me on Patreon! The AI Epiphany ►   / theaiepiphany   One-time donation: https://www.paypal.com/paypalme/theai... Much love! ❤️ ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 💡 The AI Epiphany is a channel dedicated to simplifying the field of AI using creative visualizations and in general, a stronger focus on geometrical and visual intuition, rather than the algebraic and numerical "intuition". ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 👋 CONNECT WITH ME ON SOCIAL LinkedIn ►   / aleksagordic   Twitter ►   / gordic_aleksa   Instagram ►   / aiepiphany   Facebook ►   / aiepiphany   👨‍👩‍👧‍👦 JOIN OUR DISCORD COMMUNITY: Discord ►   / discord   📢 SUBSCRIBE TO MY MONTHLY AI NEWSLETTER: Substack ► https://aiepiphany.substack.com/ 💻 FOLLOW ME ON GITHUB FOR COOL PROJECTS: GitHub ► https://github.com/gordicaleksa 📚 FOLLOW ME ON MEDIUM: Medium ►   / gordicaleksa   ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ #temporalgraphnetworks #dynamicgraphs #graphml