A dynamic-graph GNN with element-wise attention (GATE) reports sub-2-meter mean Wi-Fi localization error across heterogeneous phones and buildings, outperforming published baselines.
The Active Badge Location System
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
GATE: Graph Attention Neural Networks with Real-Time Edge Construction for Robust Indoor Localization using Mobile Embedded Devices
A dynamic-graph GNN with element-wise attention (GATE) reports sub-2-meter mean Wi-Fi localization error across heterogeneous phones and buildings, outperforming published baselines.