| Learning and Evaluating Graph Neural Network Explanations based on Counterfactual and Factual Reasoning | 0 | 0.34 | 2022 |
| HOOPS: Human-in-the-Loop Graph Reasoning for Conversational Recommendation | 2 | 0.37 | 2021 |
| Counterfactual Explainable Recommendation | 1 | 0.35 | 2021 |
| Efficient Non-Sampling Knowledge Graph Embedding | 2 | 0.35 | 2021 |
| Towards Personalized Fairness based on Causal Notion | 4 | 0.40 | 2021 |
| FedCT: Federated Collaborative Transfer for Recommendation | 1 | 0.36 | 2021 |
| Learning Personalized Risk Preferences for Recommendation | 2 | 0.37 | 2020 |
| HID: Hierarchical Multiscale Representation Learning for Information Diffusion | 1 | 0.35 | 2020 |
