Noise-augmented contrastive learning with attention for knowledge-aware collaborative recommendation
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-17640-8
Abstract: Knowledge graph (KG) plays an increasingly important role in recommender systems. Recently, Graph Convolutional Network (GCN) and Graph Attention Network (GAT) based model has gradually become the theme of Collaborative Knowledge Graph (CKG). However, recommender… read more here.
Keywords: knowledge; attention; noise augmented; contrastive learning ... See more keywords
Noise-augmented chaotic Ising machines for combinatorial optimization and sampling
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DOI: 10.1038/s42005-025-01945-1
Abstract: Ising machines are hardware accelerators for combinatorial optimization and probabilistic sampling, using stochasticity to explore spin configurations and avoid local minima. We refine the previously proposed coupled chaotic bits (c-bits), which operate deterministically, by introducing… read more here.
Keywords: ising machines; chaotic ising; combinatorial optimization; noise augmented ... See more keywords
Learning and Generation of Drawing Sequences Using a Deep Network for a Drawing Support System
Sign Up to like & getrecommendations! Published in 2025 at "Applied Sciences"
DOI: 10.3390/app15137038
Abstract: With rapid advances in image-generative AI, interest has grown in applying these technologies across diverse domains. While current models excel at producing high-quality final images, they rarely model the intermediate stages of the drawing process.… read more here.
Keywords: support system; drawing sequences; noise augmented; drawing support ... See more keywords