Collective Inference (CI) is a procedure designed to boost weak relational classifiers, specially for node classification tasks. Graph Neural Networks (GNNs) are strong classifiers that have been used ...

Classic Graph Convolutional Networks (GCNs) often learn node representation holistically, which would ignore the distinct impacts from different neighbors when aggregating their features to update a ...

Abstract: In the node classification task, it is natural to presume that densely connected nodes tend to exhibit similar attributes. Given this, it is crucial to first define what constitutes a dense ...

hey everyone in this video we will learn how to send emails in nodejs using node mailer node mailer is a powerful library that simplifies the process of sending emails we will cover setting it up ...

I think the method you proposed is very meaningful. And, I am trying to explain other node classification graph datasets using GLGExplainer. But I can't find where to replace the dataset. I would like ...

Escape the single-threaded event loop in browsers and on the server. Here's how to use worker threads and web workers for modern multithreading in JavaScript. The JavaScript language is one of the ...

Abstract: Graph neural network (GNN) has achieved remarkable success in various graph learning tasks, such as node classification, link prediction, and graph classification. The key to the success of ...