Our research focuses on graphs and their multiple applications: from integrating graph databases to program comprehension or from finding subgraphs efficiently to the Web of Data.

While graph analytics is not a likely replacement for the standard relational databases that many companies will stick with for many years to come, the value of graphs for a particular set of ...

Many of us thought linear algebra and graph structures were concepts we'd never again have to deal with after high school. However, these concepts underpin a variety of transactions, from Internet ...

Scalable Graph Algorithms for Bioinformatics using Structure, Parameterization and Dynamic Updates, ERC Consolidator Grant, 9/2025-8/2030 Sequencing technologies have developed to be cheap and ...

GraphLab, the open-source distributed database, has received $6.75 million from Madrona Venture Group and NEA for its machine learning technology used to analyze data graphs for recommendation engines ...

GraphLab, a Seattle-based startup trying to make machine learning more accessible, has raised an $18.5 million series B round of venture capital and has changed its name to Dato. The company has now ...

Origin 2017 includes several ease-of-use enhancements such as a revamped plot menu with large icons to help users quickly find the graph type they need; simpler column/cell notation for defining ...

Graphs and formulas say "Science!" to consumers, so much so that simply seeing claims about a new drug that were accompanied by data visualizations made people more likely to believe the claims. The ...