Abstract: Identifying and ranking influential nodes in complex networks is critical for broad applications in social, biological, transportation, and other infrastructure systems. Traditional ...
Your vault has a graph. But you can only stare at it. Obsidian's graph view is beautiful, but it can't answer questions — "Which notes have the most links?" "How many hops between these two concepts?" ...
Abstract: Graph Neural Networks (GNNs) exploit topological structures—namely, node-to-node connections—to aggregate contextual information, thereby achieving strong performance across diverse domains.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results