Results for "nodes"

Graphical model expressing factorization of a probability distribution.

Neural networks that operate on graph-structured data by propagating information along edges.

Extension of convolution to graph domains using adjacency structure.

GNN framework where nodes iteratively exchange and aggregate messages from neighbors.

GNN using attention to weight neighbor contributions dynamically.

Graphs containing multiple node or edge types with different semantics.

A branch of ML using multi-layer neural networks to learn hierarchical representations, often excelling in vision, speech, and language.

Finding routes from start to goal.

Optimal pathfinding algorithm.

Internal representation of environment layout.

Agents copy others’ actions.