C&EN19d
Enhancing Activation Energy Predictions under Data Constraints Using Graph Neural Networks
Department of Chemical Engineering, National Taiwan University, No. 1, Section 4, Roosevelt Road, Taipei 10617, Taiwan Taiwan International Graduate Program on Sustainable Chemical Science and ...
IEEE24d
AISFuser: Encoding Maritime Graphical Representations With Temporal Attribute Modeling for Vessel Trajectory Prediction
To tackle these challenges, we propose a novel framework called AISFuser to i) encode unique maritime traffic network into graphical representations, and ii) introduce the heterogeneity into ...
Health.com28d
Fitness Level Matters More Than Weight for Longevity, Study Finds
Nick Blackmer is a librarian, fact-checker, and researcher with more than 20 years of experience in consumer-facing health and wellness content. Being physically fit is more important than your ...
Indiatimes28d
After warning mid-level IT engineers that AI was going to do their work, now Mark Zuckerberg's Meta plans to layoff 5% of its workforce
Disclaimer Statement: This content is authored by a 3rd party. The views expressed here are that of the respective authors/ entities and do not represent the views of Economic Times (ET). ET does not ...
IEEE29d
Tensor-Representation-Based Multiview Attributed Graph Clustering With Smooth Structure
However, we observe that the aggregation of node information in multilayer graph autoencoder (GAE) is prone to deviation, especially when edges or node attributes are randomly perturbed. To this end, ...
C&EN29d
Directed Electrostatics Strategy Integrated as a Graph Neural Network Approach for Accelerated Cluster Structure Prediction
Advanced Artificial Intelligence Theoretical and Computational Chemistry Laboratory, School of Chemistry, University of Hyderabad, Hyderabad, Telangana 500046, India ...