Elina Maliarsky·Oct 12If Graphs Could Talk Back — When the Coffee Shop Learns How to ListenA coffee-chat tour of adaptive message passing in graph neural networks
PARAMJEET·Oct 2CNN, RNN, Transformers, Diffusion, GNN… Which one solves what? 🧠One of the easiest mistakes to make in deep learning interviews is memorizing model names without understanding why each architecture…
Gülce Ayşe Döker·Oct 1Graph Neural Networks and Graph Convolutional Neural Networks: A Deep Learning Perspective on…We have seen the remarkable success of Deep Learning models, such as Convolutional Neural Networks (CNNs), in image classification and…
ComfyAI·Sep 12A Foundation Model That Was Actually Pretrained on GraphsThis paper is about foundation models for graph data.A response icon1A response icon1
Júlio César·Sep 4Classification of Scientific Articles using Graph Neural Networks (GNNs)It is no secret that we have been discussing Graph Neural Networks (GNNs) quite a bit. In the previous article, we covered their…A response icon1A response icon1
Hamdi Aya·Aug 14From Transactions to Graphs: Building a Real-Time Fraud Detection System with GNNsA little note before we start: this is my first blog post here! I wanted to use it as an opportunity to share a project I spent a lot of…
Prathikshaa·Aug 12Graph Neural Networks: The Architecture That Finally Understands ConnectionsWhy the next wave of AI isn’t about bigger models; it’s about smarter structure.
InTowards AIbyHung Vo·Jul 29Recommending Fashion with Graph Neural Networks: Theory Meets PracticeHow a bipartite customer–article graph, a two-layer GATv2, and a dot product turn purchase history into a top-12 recommendation list — from…
Chungwon So·Jul 12Mapping the Connected World: A Conceptual Primer on Graph Data RepresentationMost of the data we encounter daily is organized into neat rows and columns or fixed grids. However, the real world is rarely that tidy…
Maryam .H·Jun 27Why Graph Neural Networks Are Quietly Becoming the Backbone of Fraud Detection in Digital BankingFraud doesn’t look like an outlier in a feature table. It looks like a shape in a network and that’s exactly what GNNs are built to see.A response icon1A response icon1
