Temporal Knowledge Graph Forecaster
Link prediction and node state forecasting over time-evolving knowledge graphs, designed to track state change events and predict future connections.
A conceptual framework for graph neural networks to perform link prediction and connection forecasting on temporal knowledge graphs. Designed to analyze events with explicit timestamps and predict future semantic relationships or state mutations.
Work in progress — this project is currently in the conceptual design phase.