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 ...
IEEE

Deep Learning for Dynamic Graphs: Models and Benchmarks

Abstract: Recent progress in research on deep graph networks (DGNs) has led to a maturation of the domain of learning on graphs. Despite the growth of this research field, there are still important ...
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 ...
C&EN

Design of Protein Logic Gate System Operating on Lipid Membranes

Department of Molecular Biology and Nanobiotechnology, National Institute of Chemistry, Hajdrihova ulica 19, 1001 Ljubljana, Slovenia Biomedicine Doctoral Program, University of Ljubljana, Vrazov trg ...
Nature

New first for double slits

In its simplest form the double-slit experiment involves sending waves through two slits in a screen and observing the interference pattern they create on another screen. This pattern is not a simple ...