Globally Interpretable Graph Learning via Distribution Matching

Yi Nian, Yurui Chang, Wei Jin +1

Graph neural networks (GNNs) have emerged as a powerful model to capture critical graph patterns. Instead of treating them as black boxes in an end-to-end fashion, attempts are ari…