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.
A survey on complex knowledge base question answering: Methods, challenges and solutions
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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.