Day 22 of 30-Day Challenge: Learning Gen AI and LLM's
Rupali Raosaheb Darade
Senior project and test Manager & Quantum Ambassador at IBM, Product Manager, Product Owner, GenAI Leader, Strategic Thinker, Project and Test Management for SAP/Non-SAP Projects, Enterprise Design Thinking Co-Creator
Graph Neural Networks
?
The Magical World of Graph Neural Networks
?Imagine you're in a magical kingdom where everything is connected. There are roads that connect villages, rivers that connect lakes, and even invisible threads that connect people's hearts. In this kingdom, a group of wise wizards have created a special tool called Graph Neural Networks (GNNs) to help them understand and navigate this complex web of connections.
?
The Story of Luna and Leo
?Luna and Leo are two best friends who live in the kingdom. They love to explore and go on adventures together. One day, they stumbled upon a mysterious map that showed all the connections between the villages, rivers, and people in the kingdom. The map was so complex that they couldn't make sense of it.
?That's when they met a wise wizard named Nova, who introduced them to the magical world of GNNs. Nova explained that GNNs are a type of computer program that can understand and work with complex networks like the map they found.
?
How GNNs Work
?Nova showed Luna and Leo how GNNs work by using a simple example. Imagine a village with five houses, each connected to its neighbors by a road. The houses are like the nodes in a network, and the roads are like the edges that connect them.
?A GNN would look at each house (node) and its connections (edges) and learn how they relate to each other. It would then use this information to make predictions or decisions about the village, such as which house is most likely to have a certain type of fruit or which road is most likely to be busy.
?
领英推荐
Applications of GNNs
?Luna and Leo were amazed by the power of GNNs and asked Nova about their applications. Nova told them that GNNs are used in many areas, such as:
?Social Network Analysis: GNNs can help us understand how people are connected on social media and predict things like who might be friends with whom.
Traffic Prediction: GNNs can analyze traffic patterns and predict which roads will be busy and when.
Recommendation Systems: GNNs can help us recommend products or services to people based on their connections and interests.
Molecular Biology: GNNs can help us understand the connections between molecules and predict the behavior of complex biological systems.
?
?
Luna and Leo were thrilled to learn about the magical world of GNNs and how they can help us understand complex networks. They realized that GNNs are not just a tool for wizards but can be used by anyone to make sense of the world around them.
?As they said goodbye to Nova, Luna turned to Leo and whispered, "I never knew that understanding connections could be so powerful!" Leo smiled and replied, "Now we can navigate the magical kingdom like never before!"
?
What topic would you like to explore next?
?Let ME know in the comments if there's a specific topic you'd like to explore next. I'll do my best to cover it in our upcoming posts.
Stay tuned for Day 23!
?I'll be back tomorrow with another exciting topic. Stay tuned and keep learning!
TechMighty | BSS Enterprise Solutions Architect | Telecom Digital Transformation | Photography | Biryani | Python | Continuous Learning
5 个月Thanks for Sharing ?? Congrats and Best Wishes ????