Joxan Jaffar
Journal of the ACM
We introduce a new approach to the problem of link prediction for network structured domains, such as the Web, social networks, and biological networks. Our approach is based on the topological features of network structures, not on the node features. We present a novel parameterized probabilistic model of network evolution and derive an efficient incremental learning algorithm for such models, which is then used to predict links among the nodes. We show some promising experimental results using biological network data sets.
Joxan Jaffar
Journal of the ACM
Seung Gu Kang, Jeff Weber, et al.
ACS Fall 2023
Barry K. Rosen
SWAT 1972
Conrad Albrecht, Jannik Schneider, et al.
CVPR 2025