Like all epidemics, the COVID-19 pandemic escalates in a crisis of individual and collective character. While in some ways crises bring people together, they also expose and stress systemic flaws and ...

Neo4j, a leading graph data platform, is unveiling Neo4j Graph Data Science, the company's comprehensive graph analytics workspace built for data scientists. The platform is now available with new and ...

After 9 weeks immersed in a research experience at the University of Colorado Boulder, undergraduate students could analyze scientific papers and graphs more like experts, according to a new study led ...

These past few months have not been kind to any of us. The ripples caused by the COVID-19 crisis are felt far and wide, and the world's economies have taken a staggering blow. As with most things in ...

Recommendations can be the guiding light for organizations seeking to increase customer engagement, satisfaction, and retainment—all culminating in greater revenue for the enterprise. Great ...

Graph out-of-distribution (OOD) generalization remains a major challenge in graph neural networks (GNNs). Invariant learning, aiming to extract invariant features across varied distributions, has ...

Avi Wigderson and László Lovász won for their work developing complexity theory and graph theory, respectively, and for connecting the two fields. When Avi Wigderson and László Lovász began their ...