Research Article
Variational Approach for Learning Community Structures
Algorithm 1
Variational Graph Autoencoder for Community Detection (VGAECD).
Input: Features , Adjacency matrix , | Hyperparameters: learning rate , epochs , size of layer 1 and 2. | Output: Community Assignment Probability and Reconstructed Adjacency matrix | | fordo | fordo | | | Sample | Sample | Obtain reconstructed ⊳ Decoder | Compute loss, ⊳ From (14) | and backpropagate gradients. | end for | end for | Extract community assignment via ⊳ From (18) | Return , |
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