Alexis VANNSONalexisvannson.hashnode.dev·Sep 28, 2024FeaturedApplying Graph Neural Networks for Better Image ClassificationThis article explains how to adapt Graph Neural Networks (GNNs) for image classification. It covers the process from converting images into graphs to updating the model’s parameters. I explore how message passing and global pooling can enhance spatia...47 likes·464 readsgraph neural network
Pronod Bharatiyadata-intelligence.hashnode.dev·Sep 14, 2024Leveraging Graph Neural Networks on the CORA Dataset: Tackling Non-IID and Non-Euclidean Data with Graph TheoryIn traditional machine learning models, including neural networks, data is often assumed to follow the IID (independent and identically distributed) assumption. This means each data point is independent of others and follows the same underlying proba...221 readsGraph Neural Networks (GNNs)CORA Dataset
Pronod Bharatiyadata-intelligence.hashnode.dev·Sep 14, 2024Graph Theory Algorithms and Neural Networks: An In-Depth ExplorationGraph theory and neural networks are two seemingly distinct fields in computer science and mathematics, but they have an intrinsic connection that has become increasingly significant as advancements in both areas have evolved. Graph theory, which dea...316 readsGraph Neural Networks (GNNs)graph theory
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...10 likes·128 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...Swarm 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...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...101 readsDGL
