| Presenter |
Papers |
Paper URL |
Our Slides |
| Understand |
Faithful and Customizable Explanations of Black Box Models |
Pdf |
Derrick PDF |
| Understand |
A causal framework for explaining the predictions of black-box sequence-to-sequence models, EMNLP17 |
Pdf |
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 |
PDF |
|
| Understand |
Understanding attention in graph neural networks, 2019 |
PDF |
|