MGSTC combines multi-grained spatial-temporal attention with online concept-drift-aware parameter updates, and the authors report it consistently outperforms eleven baselines on four real-world cellular traffic datasets.
Cellular traffic prediction with machine learning: A survey
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Multi-grained spatial-temporal feature complementarity for accurate online cellular traffic prediction
MGSTC combines multi-grained spatial-temporal attention with online concept-drift-aware parameter updates, and the authors report it consistently outperforms eleven baselines on four real-world cellular traffic datasets.