Abstract: The widespread deployment of Internet of Things (IoT) devices has intensified the demand for scalable and secure trust management IoT systems. Existing graph neural network (GNN)-based ...

Word Embedding (Python) is a technique to convert words into a vector representation. Computers cannot directly understand words/text as they only deal with numbers. So we need to convert words into ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

This project implements a drug-disease association prediction model using Graph Convolutional Networks (GCN) with advanced data augmentation techniques. The model predicts novel drug-disease ...

Graph neural networks (GNNs) have gained traction and have been applied to various graph-based data analysis tasks due to their high performance. However, a major concern is their robustness, ...

A few weeks ago, we caught Google linking text within its AI Overviews to its own search results. Well, that became a new official feature within AI Overviews today. What it looks like. Here’s a ...

Abstract: Graph Neural Networks (GNNs) have been proven to be useful for learning graph-based knowledge. However, one of the drawbacks of GNN techniques is that they may get stuck in the problem of ...

TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform. It provides... This library is an OSS port of a Google-internal library used in a broad variety of contexts, on ...