SOURCE-LINKED INTELLIGENCE
Time-Aligned Evolving Concept Graphs for Scientific Relation Forecasting
Forecasting scientific relations can guide discovery by identifying promising connections before they emerge. Existing approaches often model concept semantics and graph structure separately or summarize semantics over coarse historical snapshots, leaving semantic representations potentially misaligned with rapidly evolving graph evidence. We propose a time-aligned evolving concept graph framework that jointly models semantic and structural evolution. Its core idea is to treat dated papers as shared update events, reconstructing semantic and structural states from the same publication history
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-16T05:43:05.000Z
First collected: 2026-09-20T08:01:03.945Z. This is not the publication date.