Sports Illustrated

Projecting Tennessee Titans' Depth Chart & 53-Man Roster Based on OTAs

It's hard to believe but it's already June. Free agency, the draft, rookie minicamp, and most OTAs have already happened, so it's almost time for football once again. The Tennessee Titans, objectively ...
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 ...
Frontiers

Graph-based deep learning for drug-drug interaction prediction: a systematic review

Identifying potential drug–drug interactions (DDIs) is crucial for drug development and therapeutic safety, motivating increasing efforts in computational DDI prediction. Although several surveys have ...
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 ...
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 ...