When Graphs Stop Guessing: Teaching Models to Rewrite Their Own Meaning
Customer networks are messy. Product graphs are messy. Fraud rings are messy. Supply-chain graphs are messy. The usual engineering reflex is also messy: when the graph model disappoints, add another architecture, another positional encoding, another “graph-aware” module, another clever acronym to the pile. The paper Semantic Refinement with LLMs for Graph Representations suggests a quieter alternative: before changing the model, change what the model is asked to read.1 ...