Learn more about Graph Neural Networks here → https://ibm.biz/~Jnyh8Bu8W World runs on networks—social circles, molecules, even the web 🌐. Anna Gutowska breaks down Graph Neural Networks with clear explanations of GNN basics, message passing, embeddings, GCN, GAT, GraphSAGE, GIN, and graph transformers. Learn how modern AI and ML models understand complex graph data. AI news moves fast. Sign up for a monthly newsletter for AI updates from IBM → https://ibm.biz/~eKIbLYMRg #gnn #machinelearning #ai
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I got inspired. Could someone suggest a good book on the topic.
Thank you
An amazing choice of topic and a great explanation! I hope this channel will choose more of topics like this one for the future videos, instead of AI-hype stuff like Agentic-Blah-Blah engineering :)
A video on the application areas of GNNs would be a nice sequel to this one.
Talk about problems related to training GNN models and how to tackle them.
Cool stuff
Host looks like the 'spitting image' of someone I know ... but 30 years younger 😂 Also, nice video. Clear, concise, and thorough enough without being too thorough.
Great job, this video was very useful!
Thanks
can u explain for real life, usually for what?
Not a single concrete example. The teacher is so much more abstract than even very abstract high level graduate text books......
This video is interesting enough to inspire the thought about GNN. Please elaborate each of the classifications of GNN and applications of those in real world.
Nice content ! Thanks
Good content. Thanks
Awesome 🎉❤😊
❤❤❤
Omg, first video I failed to understand. Speaker deserves a rise... I guess. Tip: add this video to "rewatch when your ego needs to be humbled" list
first
It's great but suffers from the complexity curse
Whats your social media??