Results for "edges"

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

Graphs containing multiple node or edge types with different semantics.

A hidden variable influences both cause and effect, biasing naive estimates of causal impact.

Structured graph encoding facts as entity–relation–entity triples.

Extension of convolution to graph domains using adjacency structure.

Directed acyclic graph encoding causal relationships.

Finding routes from start to goal.

Internal representation of environment layout.