NO-HGNN weights dynamic-graph message passing by learned neighborhood-overlap scores and reports link prediction gains on two datasets.
A generalized and fast -converging non -negative latent factor model for predicting user preference s in recommender systems,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.SI 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
Neighborhood Overlap-Aware High-Order Graph Neural Network for Dynamic Graph Learning
NO-HGNN weights dynamic-graph message passing by learned neighborhood-overlap scores and reports link prediction gains on two datasets.