A Comprehensive Introduction to Graph Neural Networks (GNNs) | DataCamp
What are Graph Neural Networks, and how do they work?
Understanding Graph Convolutional Networks for Node Classification | by Inneke Mayachita | Towards Data Science
Policy-GNN: Aggregation Optimization for Graph Neural Networks | Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
A graph neural network framework for causal inference in brain networks | Scientific Reports
A Tale of Two Convolutions: Differing Design Paradigms for Graph Neural Networks | by Cody Marie Wild | Towards Data Science
An Overview of Graph Models | Papers With Code
What are graph neural networks (GNN)? - TechTalks
Graph neural networks for an accurate and interpretable prediction of the properties of polycrystalline materials | npj Computational Materials
Demystifying Graph Neural Networks
Graph Neural Networks - An overview | AI Summer
Electronics | Free Full-Text | HFGNN-Proto: Hesitant Fuzzy Graph Neural Network-Based Prototypical Network for Few-Shot Text Classification
What Are Graph Neural Networks? | NVIDIA Blogs
How Graph Neural Networks (GNN) work: introduction to graph convolutions from scratch | AI Summer
An Introduction to Graph Neural Networks: Models and Applications - YouTube
Yale University and IBM Researchers Introduce Kernel Graph Neural Networks (KerGNNs) - MarkTechPost
What Are Graph Neural Networks? How GNNs Work, Explained with Examples
A Comprehensive Introduction to Graph Neural Networks (GNNs) | DataCamp
An overview of graph neural networks (GNNs), types and applications