ARISE-GNN: Graph Neural Representation Learning for Discovering Potential Rising-Star Candidates in Scholarly Collaboration Networks
The proposed ARISE-GNN (Author Representation Learning for Identifying Scholarly Emergence) framework provides a scalable and effective unsupervised approach for identifying authors with characteristics associated with emerging scholarly influence based on graph representations and bibliometric indicators.