## [1]: GNN to Understand

read on: - 05 Apr 2019 2Graphs 3Reliable Interpretable black-box casual seq2seq noise knowledge-graph attentionPresenter | Papers | Paper URL | Our Slides |
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Understand | Faithful and Customizable Explanations of Black Box Models | Derrick PDF | |

Understand | A causal framework for explaining the predictions of black-box sequence-to-sequence models, EMNLP17 | GaoJi PDF + Bill Pdf | |

Understand | How Powerful are Graph Neural Networks? / Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning | Pdf + Pdf | GaoJi PDF |

Understand | Interpretable Graph Convolutional Neural Networks for Inference on Noisy Knowledge Graphs + GNN Explainer: A Tool for Post-hoc Explanation of Graph Neural Networks | Pdf + PDF | GaoJi PDF |

Understand | Attention is not Explanation, 2019 | ||

Understand | Understanding attention in graph neural networks, 2019 |