IEEE

A Survey on Edge-Aware Graph Learning Methods

Abstract: Graph Neural Networks (GNNs) have gained popularity as an efficient choice for learning on graph-structured data. However, most methods are node or graph-centered, often overlooking valuable ...
IEEE

DGAN-TRL: Deep Graph Attention Network Based Trajectory Representation Learning

Abstract: Existing trajectory representation learning methods are usually designed for specific downstream tasks, resulting in limited generality. Specifically, (1) current grid graph-based ...
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 ...
C&EN

Using Deep Graph Neural Networks Improves Physics-Based Hydration Free Energy Predictions Even for Molecules Outside of the Training Set Distribution

Department of Computer Science, Virginia Tech, Blacksburg, Virginia 24061, United States Department of Physics, Virginia Tech, Blacksburg, Virginia 24061, United States Center for Soft Matter and ...
ABC 7 Chicago

Doctor giving back to South Side community with Comprehensive Learning Services facility

CHICAGO (WLS) -- A first-of-its-kind facility in the Hyde Park, Kenwood Area is helping families all thanks to a local doctor who wanted to give back to her neighborhood. "This is a blessing for so ...