Simple MLPs using temporal and behavioral features from gossip data predict Lightning Network channel closure types better than temporal graph neural networks.
TGB 2.0: A benchmark for learning on temporal knowledge graphs and heterogeneous graphs,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Predicting Channel Closures in the Lightning Network with Machine Learning
Simple MLPs using temporal and behavioral features from gossip data predict Lightning Network channel closure types better than temporal graph neural networks.