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 ...
IEEE

Generalized Flow-Graph Programming Using Template Task-Graphs: Initial Implementation and Assessment

Abstract: We present and evaluate TTG, a novel programming model and its C++ implementation that by marrying the ideas of control and data flowgraph programming supports compact specification and ...
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 ...
GitHub

LaTeX Template for Academic Papers

This is a template repository for creating academic papers in LaTeX. The goal is to provide a consistent file structure and a professional, 100% reproducible development environment using a custom ...