Palm Beach Post

Why this Florida python raises new alarm about invasive spread

A Burmese python named Harriet has challenged scientific understanding of the species' reproductive cycle. Harriet produced six clutches of eggs over seven reproductive cycles, a much higher rate than ...
IEEE

Fast Adversarial Training for Graph Neural Network Based Resource Allocation

Abstract: In this letter, we propose a meta-learning-based fast adversarial training method to address the vulnerability of graph neural network (GNN) based resource allocation method to adversarial ...
techxplore

New graph attention network models higher-order relationships in complex graph data

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...
C&EN

Efficient Learning of Molecular Properties Using Graph Neural Networks Enhanced with Chemistry Knowledge

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Graph neural networks (GNNs) have emerged as a powerful tool in predicting molecular ...
Scientific Research Publishing

Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ()

Cloud infrastructure anomalies cause significant downtime and financial losses (estimated at $2.5 M/hour for major services). Traditional anomaly detection methods fail to capture complex dependencies ...
IEEE

A Graph Neural Network for Learning Beamforming in Pinching Antenna Systems (PASS)

Abstract: A Graph Neural Network (GNN) for learning beamforming in Pinching Antenna Systems (PASS) is proposed, which is called GPASS. The GPASS is with a staged architecture, where the positions of ...