🔑 Get your AssemblyAI API key here: https://www.assemblyai.com/?utm_source=youtube&utm_medium=referral&utm_campaign=yt_marco_1 Graph Neural Networks (GNN) have been rapidly advancing and have recently become the dark horse behind many exciting achievements, from research breakthroughs to actual solutions with large-scale deployment. But why do Graph Neural Networks (GNN) matter in 2024? This video will recap some impactful applications of GNNs in science and industry, and the most recent research highlights, focusing on applied use cases. With the latest applications of GNNs spanning from Relational Databases, Materials Science, Dynamical System Modeling, to the most advanced Recommendation Systems out there, we take an overview of diverse application areas unlocked by Graph Machine Learning (Graph ML). For all references made in the video, see below. ▬▬▬▬▬▬▬▬▬▬▬▬ CONNECT ▬▬▬▬▬▬▬▬▬▬▬▬ 🖥️ Website: https://www.assemblyai.com/?utm_source=youtube&utm_medium=referral&utm_campaign=yt_marco_1 🐦 Twitter: https://twitter.com/AssemblyAI 🦾 Discord: https://discord.gg/Cd8MyVJAXd ▶️ Subscribe: null 🔥 We're hiring! Check our open roles: https://www.assemblyai.com/careers ▬▬▬▬ REFERENCES AND SOURCES ▬▬▬▬ Uber Eats (Uber) - https://www.uber.com/en-GR/blog/uber-eats-graph-learning/ Pinsage (Pinterest) - https://arxiv.org/abs/1806.01973 Google Maps (DeepMind) - https://deepmind.google/discover/blog/traffic-prediction-with-advanced-graph-neural-networks/ GraphCast (DeepMind) - https://deepmind.google/discover/blog/graphcast-ai-model-for-faster-and-more-accurate-global-weather-forecasting/ Relational Databases (Stanford/KumoAI/MPII) - https://relbench.stanford.edu/paper.pdf GNoME (DeepMind) - https://deepmind.google/discover/blog/millions-of-new-materials-discovered-with-deep-learning/ Antibiotic Discovery / Halicin (MIT) - https://www.sciencedirect.com/science/article/pii/S0092867420301021 Explainable GNNs (MIT/Harvard) - https://www.nature.com/articles/s41586-023-06887-8 RFdiffusion (Baker Lab) - https://www.bakerlab.org/2023/07/11/diffusion-model-for-protein-design/ Chroma (Generate:Biomedicines) - https://github.com/generatebio/chroma Paper on Non-Euclidean Structure Data - https://www.mdpi.com/2073-8994/15/4/837 ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 0:00 Intro 0:44 What are Graph Neural Networks? 1:45 Recommendation Systems 3:19 Traffic Prediction 3:53 Weather Prediction 4:44 Data Mining 6:35 Materials Science 8:02 Drug Discovery 10:05 Protein Design 11:41 Final Words #machinelearning #deeplearning #ai