ChainsFormer converts knowledge graph numerical reasoning into a chain-encoding problem, using hyperbolic filtering and attention weighting to improve prediction accuracy over prior graph-based methods.
Muthukrishnan, Gerard de Melo, and Yongfeng Zhang
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AI 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
CHAINSFORMER: Numerical Reasoning on Knowledge Graphs from a Chain Perspective
ChainsFormer converts knowledge graph numerical reasoning into a chain-encoding problem, using hyperbolic filtering and attention weighting to improve prediction accuracy over prior graph-based methods.