opportunities for open innovation remain challenging. As a solution, we present a large-scale network modeling and embedding … interrelations. Research collaborations are represented in the triplet form. Finally, network embedding techniques are applied to …

measures digital technology embedding section bias and employs cross-country panel data to study its impact on the Global Value … Chain (GVC) postition. The results show that, first, the impact of digital technology embedding section bias on the … manufacturing industry's GVC position has a significant inverted U-shaped feature, and embedding digital technology in the midstream …

. Dynamic graph embedding (DGE) has recently emerged as a promising approach for modeling dynamic graph-structured data. However …

This work introduces Gen-JEMA, a generative approach based on joint embedding with multimodal alignment (JEMA), to … enhance feature extraction in the embedding space and improve the explainability of its predictions. Gen-JEMA addresses these … embedding. This novel co-learning framework, tailored for directed energy deposition (DED), integrates multiple data sources to …

. Dynamic graph embedding (DGE) has recently emerged as a promising approach for modeling dynamic graph-structured data. However …