Sports Illustrated

Projecting Virginia Tech's Two-Deep Depth Chart

BLACKSBURG, VA — With Virginia Tech's season just three months away, a lot of people are wondering what this transfer-heavy roster is going to look like on the two-deep, but more importantly, on the ...
EurekAlert!

Multi-source graph learning may improve drug–target affinity prediction

Figure 1. Overall framework of MIGDTA. GCN: graph convolutional network; GIN: graph isomorphism network; CNN: convolutional neural network; MLP: multi-layer ...
IEEE

Substructure-guided Deep Graph Learning in Molecular Toxicity Prediction

Abstract: Computational toxicity prediction has become a key component in modern drug discovery. Although machine learning or deep learning techniques have reformed this field in recent years, more in ...
Hacker

Riemannian Graph Learning & Structural Entropy: Deep Node Clustering in 2026

Deep Graph Clustering. Deep models have achieved state-of-the-art results in node clustering. Classic methods leverage a reconstructive loss to learn node representations, while identifying node ...
IEEE

Deep Reinforcement Learning-Based Knowledge Graph Reasoning for Autonomous Driving systems

Abstract: The rapid development of advanced sensing and artificial intelligence technologies, has advanced autonomous driving (AD) systems by providing intelligent route planning decisions. However, ...
PNAS

A protein dynamics–based deep learning model enhances predictions of fitness and epistasis

Predicting the effects of multiple mutations on protein function is challenging due to the intricate interplay between residues. Machine learning has advanced these efforts, but traditional neural ...
C&EN

A Comparative Evaluation of Machine Learning and Deep Graph Learning for Chemical Ecotoxicological Prediction

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted. No ...