New Contrastive Learning Framework Taps Hidden Network Motifs to Sharpen Social Recommendations
Researchers have introduced HOFA, a contrastive learning framework that mines triangular motifs in social networks and aligns embedding features to ...
Researchers have introduced HOFA, a contrastive learning framework that mines triangular motifs in social networks and aligns embedding features to ...
Researchers at Ningxia University have unveiled a new artificial intelligence framework that could reshape how recommendation systems handle their most ...
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© 2026 Scienmag - Science Magazine