Beyond traditional synergies: exploring network, relational and nonmarket gains in European M&A
Sign Up to like & getrecommendations! Published in 2024 at "International Journal of Law and Management"
DOI: 10.1108/ijlma-10-2024-0370
Abstract: Purpose This study aims to explore the sources of synergy gains in European mergers and acquisitions (M&A) from 2010 to 2021, focusing on both traditional and emerging synergies. Empirically validate novel types of synergies, including… read more here.
Keywords: value; nonmarket; gains european; network ... See more keywords
Ridge-Regression-Induced Robust Graph Relational Network.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2022.3163412
Abstract: Graph convolutional networks (GCNs) have attracted increasing research attention, which merits in its strong ability to handle graph data, such as the citation network or social network. Existing models typically use first-order neighborhood information to… read more here.
Keywords: regression; robust graph; relational network; graph ... See more keywords
Research on image classification method based on improved multi-scale relational network
Sign Up to like & getrecommendations! Published in 2021 at "PeerJ Computer Science"
DOI: 10.7717/peerj-cs.613
Abstract: Small sample learning aims to learn information about object categories from a single or a few training samples. This learning style is crucial for deep learning methods based on large amounts of data. The deep… read more here.
Keywords: classification; meta learning; relational network; meta ... See more keywords