Post #101

Fresh picks from ArXiv This week ranges applications of graphs from social studies to astrophysics to robotics 🤖 Also checkout latest survey of deep learning impact on scientific discovery by Eric Schmidt, ex-Google CEO 🎓 And lots of other coolest graph papers from last week. Applications • Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers — combinatorial optimization • A Heterogeneous Dynamical Graph Neural Networks Approach to Quantify Scientific Impact — scientific impact • Investigating Software Usage in the Social Sciences: A Knowledge Graph Approach — social sciences • Graph Neural Networks for Particle Reconstruction in High Energy Physics detectors — physics • Representing Multi-Robot Structure through Multimodal Graph Embedding for the Selection of Robot Teams — robotics • Identification of Patterns in Cosmic-Ray Arrival Directions using Dynamic Graph Convolutional Neural Networks — astrophysics Survey • word2vec, node2vec, graph2vec, X2vec: Towards a Theory of Vector Embeddings of Structured Data by Martin Grohe • A Survey of Deep Learning for Scientific Discovery by Eric Schmidt (ex-Google CEO) • COVID-19 and Computer Audition: An Overview on What Speech & Sound Analysis Could Contribute in the SARS-CoV-2 Corona Crisis CVPR • Distillating Knowledge from Graph Convolutional Networks GNN • Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks Graph Theory • The 1-2-3 Conjecture holds for graphs with large enough minimum degree • Bounds for the rainbow disconnection number of graphs