Tag: graph attention networks

A new simulation study presents a graph attention-based multi-agent reinforcement learning framework that jointly optimizes drone swarm trajectories, transmission power, ...

A GAT-XGBoost framework predicts both the occurrence and magnitude of bilateral ICT goods trade with high out-of-period accuracy, ranking export ...

A new reinforcement learning optimizer called LIGHT uses dynamic graph attention and logarithmic reward shaping to cut query latency on ...

A new semantic-guided graph attention framework improves rating prediction and ranking on Amazon cross-domain recommendation pairs while showing controlled but ...

A computational study found climate-dependent double-skin façade designs that reduced operational CO₂ emissions by 13–23% in Tashkent and 8–20% in ...

A compact hybrid Transformer-graph attention autoencoder reconstructs downhole geomechanical states from unlabelled drilling data, outperforming standalone models and surviving simulated ...

A new graph neural network framework called GlucoSense combines smartphone activity recognition with glucose forecasting to identify early type 2 ...

A new model called GA-ODE combines graph attention networks with ordinary differential equation constraints to predict opinion evolution on social ...

A new cross-domain handover framework for vehicular networks combines one-time anonymous credentials with graph-attention and federated anomaly detection, achieving strong ...

Researchers have built a drone perception framework that pairs an enhanced YOLOv7 detector with graph attention network reasoning and spatial ...