Graph Neural Networks (GNNs) have emerged as a versatile framework for learning from graph-structured data by propagating and aggregating node and edge features along the topology. Methodological ...
Robots, augmented reality headsets, and warehouse automation systems all share a deceptively simple need: knowing exactly ...
A systematic review in Applied Intelligence introduces a two-axis taxonomy that maps how large language models enhance graph ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results