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cs.LG2020★ 3 cited
Unsupervised Joint -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…
cs.LG2018★ 1 cited
Graph Pattern Mining and Learning through User-defined Relations (Extended Version)
Carlos H. C. Teixeira, Leonardo Cotta, Bruno Ribeiro +1
In this work we propose R-GPM, a parallel computing framework for graph pattern mining (GPM) through a user-defined subgraph relation. More specifically, we enable the computation…