Abstract: Graph Neural Networks (GNNs) have demonstrated significant success in deep learning tasks involving structured data, particularly node classification. Although mixup— a data augmentation ...

Google Search Console’s blind spot is costing you visibility into one of the biggest SERP changes in years. AI Overviews now appear for millions of queries, yet Search Console lumps these impressions ...

A comprehensive research platform for Graph Neural Networks (GNNs) featuring 10+ applications including node and graph classification, link prediction, community detection, anomaly detection, and ...

ABSTRACT: Drug repositioning aims to identify new therapeutic applications for existing drugs offering a faster and more cost-effective alternative to traditional drug discovery. Since approved drugs ...

Abstract: Node classification is a crucial task in many applications, where the objective is to accurately classify nodes based on their features. Unlike traditional machine learning methods, which ...

This tutorial outlines a complete workflow for classifying cropland land cover using Landsat 8 imagery and version 2.3.2 of the Semi-Automatic Classification Plugin (SCP) for QGIS. The study area is ...

Abstract: Many modern classification problems involve data that live in high-dimensional spaces but exhibit strong low-dimensional structure. Motivated by the manifold hypothesis, this talk presents a ...