RieIF combines Riemannian projection, KG-prior graph transformers, LSTMs, and geometric gating to predict spatio-temporal signals under systemic blind spots in wireless networks.
Transformer-based channel prediction for rate-splitting multiple access- enabled vehicle-to-everything communication
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RieIF: Knowledge-Driven Riemannian Information Flow for Robust Spatio-Temporal Graph Signal Prediction in 6G Wireless Networks
RieIF combines Riemannian projection, KG-prior graph transformers, LSTMs, and geometric gating to predict spatio-temporal signals under systemic blind spots in wireless networks.