Kanishk Munotkanishkmunot.hashnode.dev·Mar 9, 2024How Graph Neural Networks learn through message parsingIn part one of our blog series, we explored the world of graphs and graph neural networks (GNNs). We learned that GNNs are a powerful tool for machine learning tasks involving graphs, like social networks and molecule structures. But how exactly do G...Discuss·10 likes·100 readsmessage parsing
Akash Gssgssakash.hashnode.dev·Feb 28, 2024Swarm Intelligence Series : Ant Colony OptimizationThe Ant Colony Optimization Algorithm is a computational technique that is heavily inspired by the behavior of ants in finding the shortest path to the food sources from the colony. Introduction The Ant Colony Optimization Algorithm is a probabilisti...DiscussSwarm Intelligence Algorithms in Machine learningSwarm
Vishal Vasoyavishalvasoya.hashnode.dev·Jun 28, 2023🌐 Graph Neural Networks (GNNs): Igniting the Power! : Part 1(Basic)🔥📚 Table of Contents 📚 Introduction to Graphs and GNNs 📊 🌟 What are graphs? 📈 🌟 Why are GNNs important? 🧠 🌟 How do GNNs work? 🤖 GNN Architecture and Components 🏗️ 🌟 Nodes, edges, and features 🧑🤝🧑🔗📝 🌟 Message Passing and Agg...Discuss·1 likeneural networks
DataChefforDataChef's Blogblog.datachef.co·Sep 7, 2021A Graph Convolution Network in SageMakerIntroduction Graph neural networks provide a more flexible paradigm for machine learning models by explicitly accounting for entities and their relationships through neural networks. For example, It is easier to model a real problem with graphs in so...Discuss·86 readsDGL
