Computer Science
DiffNet++: A Neural Influence and Interest Diffusion Network for Social Recommendation
L. Wu, J. Li, et al.
Discover DiffNet++, a neural framework that jointly models influence diffusion in social networks and interest diffusion in user–item graphs, using iterative aggregation and multi-level attention to learn richer user embeddings and boost social recommendation performance on real datasets. This research was conducted by Authors present in <Authors> tag.
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