Scalable Inference of Overlapping Communities
–Neural Information Processing Systems
We develop a scalable algorithm for posterior inference of overlapping communities in large networks. Our algorithm is based on stochastic variational inference in the mixed-membership stochastic blockmodel (MMSB).
Neural Information Processing Systems
Mar-14-2024, 18:41:01 GMT
- Country:
- North America > United States (0.14)
- Technology:
- Information Technology
- Artificial Intelligence
- Machine Learning (1.00)
- Representation & Reasoning (0.94)
- Communications > Networks (0.67)
- Data Science > Data Mining (0.89)
- Artificial Intelligence
- Information Technology