Essentially all cells in an organism's body have the same genetic blueprint, or genome, but the set of genes that are ...

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

These utility functions are ideal for demonstration as they comprise a number of different graph-based subproblems, and thus demonstrate the usefulness of our method over a wide range.

By further considering a communication graph, we propose two distributed RL approaches based on local value functions derived from the coupling graphs. The first approach is able to reduce sample ...

Struct2GO is a protein function prediction model based on self-attention graph pooling, which utilizes structural information from AlphaFold2 to augment the accuracy and generality of the model's ...

To address this, we developed ProtHGT, a heterogeneous graph transformer-based model that integrates diverse biological datasets into a unified framework using knowledge graphs for accurate and ...

Each fan has a unique curve showing a spectrum of potential operating points, called a “fan curve.” Each potential operating point shows the amount of air flow and pressure a fan generates at that ...

The central bank put its own independence at risk by straying from its narrow statutory mandate.

I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful. Every data point, every observation, every piece of knowledge doesn’t exist in ...

Walmart Restocked Texas Instruments Graphing Calculator at Record Low for Back-to-School This calculator lets you solve complicated equations and understand tough concepts in minutes.

The startup XOPS is using artificial intelligence and ‘knowledge graphs’ to build a new platform for automating corporate IT departments, promising to get rid of ‘human middleware.’ ...