Unsupervised Joint $k$-node Graph Representations with Compositional Energy-Based Models

Leonardo Cotta, Carlos H. C. Teixeira, Ananthram Swami +1

Existing Graph Neural Network (GNN) methods that learn inductive unsupervised graph representations focus on learning node and edge representations by predicting observed edges in…