Deep graph structure learning for robust representations: A survey Y Zhu, W Xu, J Zhang, Q Liu, S Wu, L Wang arXiv preprint arXiv:2103.03036 14, 2021 | 203* | 2021 |
Evidence-aware Fake News Detection with Graph Neural Networks W Xu, J Wu, Q Liu, S Wu, L Wang Proceedings of the ACM Web Conference 2022 (WWW2022), 2022 | 88 | 2022 |
Bias Mitigation for Evidence-aware Fake News Detection by Causal Intervention J Wu, Q Liu, W Xu, S Wu Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 18 | 2022 |
Adversarial contrastive learning for evidence-aware fake news detection with graph neural networks J Wu, W Xu, Q Liu, S Wu, L Wang IEEE Transactions on Knowledge and Data Engineering, 2023 | 16 | 2023 |
Counterfactual Debiasing for Fact Verification W Xu, Q Liu, S Wu, L Wang Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 16 | 2023 |
Graph-based Hierarchical Relevance Matching Signals for Ad-hoc Retrieval X Yu, W Xu, Z Cui, S Wu, L Wang Proceedings of the 30th Web Conference (WWW2021), 2021 | 14 | 2021 |
When Contrastive Learning Meets Active Learning: A Novel Graph Active Learning Paradigm with Self-Supervision Y Zhu, W Xu, Q Liu, S Wu arXiv preprint arXiv:2010.16091, 2020 | 10 | 2020 |
EX-FEVER: A Dataset for Multi-hop Explainable Fact Verification H Ma, W Xu, Y Wei, L Chen, L Wang, Q Liu, S Wu arXiv preprint arXiv:2310.09754, 2023 | 2 | 2023 |