Tag: graph attention network

In a simulated fog-cloud environment, a hybrid graph attention network and reinforcement learning framework improved offloading latency and security success ...

A dual-model optimization framework combining graph attention networks and random forests restored perturbed graphic design layouts while adaptively balancing geometric ...

Researchers report an entropy-driven adaptive spatial modeling framework that classifies drought, salinity, heat and nutrient-deficiency stress in grapevine leaf images ...

A new framework combining an industry-chain knowledge graph with a digital twin training platform shows statistically significant improvements in response ...

A new framework combining a 120,000-entity knowledge graph with contrastive learning outperforms traditional and graph-based baselines in evaluating digital economy ...

GasGAT models smart contracts as semantic graphs and uses attention to expose inter-procedural inefficiencies that rule-based tools miss.

A new graph-attention-based generative adversarial network called GARAGE produces realistic synthetic single-cell RNA-seq data that preserves rare cell types and ...

A new graph neural network study of spatial transcriptomics finds that attention mechanisms, not elaborate edge features, drive accurate identification ...

A new hybrid 3D CNN-graph attention framework with entropy-guided fusion achieved an AUROC of 0.964 and delineated five new exploration ...

Researchers have developed a graph-enhanced bidirectional GRU model that detected 44 of 45 simulated anomalies in a realistic power generation ...