Researchers have developed a new tool, bimodularity, that adds directionality to community detection in networks.

I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful.

Graph-structured data are pervasive in the real-world such as social networks, molecular graphs and transaction networks.

To address these limitations, we introduce a novel framework: the Molecular Merged Hypergraph Neural Network (MMHNN). MMHNN ...

As summer winds down, many of us in continental Europe are heading back north. The long return journeys from the beaches of ...

Cassie Shum, VP of Field Engineering at RelationalAI, joins host Keith Shaw on DEMO to showcase how enterprises can unlock ...

Selecting the right material from countless possibilities remains a central hurdle in materials discovery. Theory-driven ...

IVIX Tech Inc., a startup that helps government agencies detect money laundering and other financial crimes, has raised $60 ...

Researchers at EPFL and the University of Geneva have developed a new algorithm that cracks an outstanding challenge in ...

He didn’t disclose specifics of pricing or availability.