Tag: graph

GraphLane combined three-frame context, uncertainty-weighted graph reasoning and road-geometry constraints to improve lane-coordinate estimates in a CULane study, although its ...

HGACL-DRP achieved reported mean AUC values of 95.48% and 98.99% on two public cancer cell-line datasets in a computational drug-response ...

A graph-theoretic simulation for Vellore reported that staggered sector schedules combined with Hamiltonian-inspired routing reduced modeled end-to-end delay by 43.8–48.7% ...

A synthetic simulation of scan-to-order transactions found that DS-GNN ranked privacy-leakage paths and estimated risk more accurately than four baselines, ...

A new hybrid architecture combining graph convolutions with a lite capsule network delivers an average 9.1 percent improvement in link ...

A new conditioned diffusion-based graph attention network from the University of Naples Parthenope delivers probabilistic spatio-temporal forecasts with calibrated uncertainty, ...

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

Researchers have proven that minimizing graph counterfactual explanations is NP-hard and introduced Local Bounded Search, an algorithm that shrinks graph-based ...

The concept of a proximity antigen sits at an important intersection of tumour immunology, spatial biology, and machine learning, and ...