If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...

BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs through graph partitioning, has been developed by researchers at ...

An international team led by Einstein Professor Cecilia Clementi in the Department of Physics at Freie Universität Berlin introduces a breakthrough in protein simulation.

Using this information, the model can then tell us the probability of a drug-protein interaction that we did not previously have in the database, as the algorithms can efficiently analyse large ...

However, conventional Graph Neural Networks (GNNs) often struggle with accuracy when "extra" or irrelevant nodes in the data interfere with the matching process.