HIAL selects labels for hypergraph neural networks by maximizing a dual feature-and-topology influence function, and reports improved accuracy on seven datasets.
Title resolution pending
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
-
HIAL: A New Paradigm for Hypergraph Active Learning via Influence Maximization
HIAL selects labels for hypergraph neural networks by maximizing a dual feature-and-topology influence function, and reports improved accuracy on seven datasets.