MedKGTab integrates data-driven statistical priors with the SPOKE biomedical knowledge graph via dual-attention to expand cross-domain features in tabular medical data and claims to outperform existing models.
IMPORTANT (must-follow): - For each metabolite-only sample, you MUST copy the metabolite fields and their values EXACTLY as provided
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AI 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Cross-Domain Feature Expansion for Tabular Medical Data via Knowledge Graphs Injection
MedKGTab integrates data-driven statistical priors with the SPOKE biomedical knowledge graph via dual-attention to expand cross-domain features in tabular medical data and claims to outperform existing models.