Abstract: Graph Convolutional Networks (GCNs) have been widely studied for semi-supervised learning tasks. It is known that the graph convolution operations in most of existing GCNs are composed of ...
From Indra Nooyi to Elon Musk to Sundar Pichai, H-1B visa holders have shaped American innovation. But a new $100,000 fee announced by the Trump administration could change that. We examine the impact ...
Nearly five years on from Myanmar’s 2020 general election, the country’s struggle over political authority has entered a new phase. The State Administration Council (SAC), the military junta that ...
Stanford University computer science professor Jure Leskovec is no stranger to rapid technological change. A machine-learning researcher for nearly three decades and well into his second decade of ...
Imagine standing atop a mountain, gazing at the vast landscape below, trying to make sense of the world around you. For centuries, explorers relied on such vantage points to map their surroundings.
ABSTRACT: Psychiatric and neurological disorders often exhibit overlapping symptomatology and shared neurobiological mechanisms, yet pharmacological treatments are typically developed and administered ...
ABSTRACT: Predicting molecular properties is essential for advancing for advancing drug discovery and design. Recently, Graph Neural Networks (GNNs) have gained prominence due to their ability to ...
Researchers are exploring the world’s first virtual human cell, an AI-powered model designed to simulate the complex behavior of human biomolecules, cells, and tissues. This innovation could unlock ...
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