GitHub

An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem

🚀 Update: If you are interested in this work, you may be interested in our latest paper and up-to-date codebase bringing together several architectures and learning paradigms for learning-driven TSP ...
MUO on MSN

I almost ditched Google Docs for Word until these 3 extensions saved it

Google Docs already has a spelling and grammar checker, but let’s be honest, it’s basic at best. It catches obvious typos, ...
IEEE

Semi-Supervised Learning With Graph Learning-Convolutional Networks

Abstract: Graph Convolutional Neural Networks (graph CNNs) have been widely used for graph data representation and semi-supervised learning tasks. However, existing graph CNNs generally use a fixed ...
News-Medical.Net

MEA-driven graph modeling identifies early connectivity changes linked to autism

Multi-electrode arrays (MEAs) provide a noninvasive interface with sub-millisecond temporal resolution and long-term, ...
IEEE

A Multi-Graph Attention Spatial-Temporal Graph Convolutional Network (MGA-STGCN) for AHP Risk Forecasting

Abstract: We propose a Multi-graph Attention spatial-temporal graph convolutional network (MGA-STGCN) for AHP risk forecasting. To describe the temporal and spatial features of the area, we use ...
GitHub

Qt Visual Graph Editor

QVGE is a multiplatform graph editor written in C++/Qt. Its main goal is to make possible visually edit two-dimensional graphs in a simple and intuitive way. Please note that QVGE is not a replacement ...
The New York Times

Our Favorite Paper Planners

We independently review everything we recommend. We may get paid to link out to retailer sites, and when you buy through our links, we may earn a commission. Learn more› By Jackie Reeve, Kaitlyn Wells ...