Term tag: knowledge representation

Graph Neural Networks (GNN)

A GNN takes adjacency as data, not as an architectural assumption. Message passing worked by hand, why k layers reach d^k nodes, and why deep GNNs collapse.

Knowledge Graphs (KG)

A knowledge graph stores facts as typed links between named things so one query can join across several. The structure is easy; the curation is what costs.

Knowledge Representation

How you encode what a system knows fixes which conclusions are cheap, which are exponential and which are impossible. The expressiveness-tractability trade-off.

Ontologies

An ontology is a formal, machine-readable model of a domain — classes, properties and logical axioms a computer can reason over, not just a taxonomy of labels.

Symbolic AI

Symbolic AI (GOFAI) builds intelligence from human-written symbols and logic rules rather than learned data - the paradigm behind expert systems like MYCIN.