TGTGInsighttelegram intelligenceLIVE / telegram public index
← Graph Machine Learning
Graph Machine Learning avatar

TGINSIGHT POST

Post #123

@graphml

Graph Machine Learning

Vues860Nombre de vues
Publié21 avr.21/04/2020 09:01
Contenu

Contenu du post

Fresh picks from ArXiv Ever wondered what color of the sofa to choose to be compatible with the rest of the furniture? 🛋 Today you will find an answer in one of the papers and of course with the help of GNN. Besides, there is a survey on 6G (!) technologies 📱, new theoretical result on graph isomorphism 🎓, and many applications of graphs. Applications The Quantum Approximate Optimization Algorithm Needs to See the Whole Graph: A Typical Case — quantum computation Recommendation system using a deep learning and graph analysis approach — recommendation Learning Furniture Compatibility with Graph Neural Networks — interior design Gumbel-softmax-based Optimization: A Simple General Framework for Optimization Problems on Graphs —combinatorial optimization Knowledge graphs DGL-KE: Training Knowledge Graph Embeddings at Scale Dynamic Knowledge Graph-based Dialogue Generation with Improved Adversarial Meta-Learning Layered Graph Embedding for Entity Recommendation using Wikipedia in the Yahoo! Knowledge Graph Survey A Survey of 6G Wireless Communications: Emerging Technologies Duplication Detection in Knowledge Graphs: Literature and Tools Graph theory Isomorphism Testing for Graphs Excluding Small Minors — on graph isomorphism Hitting forbidden induced subgraphs on bounded treewidth graphs — on treewidth Low-stretch spanning trees of graphs with bounded width Steiner Trees for Hereditary Graph Classes: a Treewidth Perspective