AutoGNR combines non-recursive, per-hop and per-type aggregation with differentiable architecture search to automatically select useful node type combinations for heterogeneous graph classification.
Deep collective classification in heterogeneous information networks,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Automated Heterogeneous Network learning with Non-Recursive Message Passing
AutoGNR combines non-recursive, per-hop and per-type aggregation with differentiable architecture search to automatically select useful node type combinations for heterogeneous graph classification.