Knowledge graphs are a powerful tool for bringing together information from biological databases and linking what is already ...

Strangers are more likely to become friends if their brains respond similarly to movie clips, suggesting neural activity can predict relationships. Across cultures, humans tend to surround themselves ...

The clock started ticking when Michelle Mazzola’s son, Guy, was diagnosed with autism before his second birthday. Doctors told her the sooner Guy received therapy for his nonverbal communication and ...

According to mathematical legend, Peter Sarnak and Noga Alon made a bet about optimal graphs in the late 1980s. They’ve now both been proved wrong. It started with a bet. In the late 1980s, at a ...

Covid-19 broke the charts. Decades from now, the pandemic will be visible in the historical data of nearly anything measurable today: an unmistakable spike, dip or jolt that officially began for ...

Abstract: Homophily and heterophily are intrinsic properties of graphs that describe whether linked nodes share similar properties. While Message Passing Neural Networks (MPNNs) have shown remarkable ...

Abstract: Graph Neural Networks (GNNs) have aroused increasing research attention for their effectiveness on graph mining tasks. However, full-batch training methods based on stochastic gradient ...

Artificial intelligence might now be solving advanced math, performing complex reasoning, and even using personal computers, but today’s algorithms could still learn a thing or two from microscopic ...