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Weizhi Xu
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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
277*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
1152022
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
262023
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
262023
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
242022
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
162021
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
132020
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
82023
Heterogeneous Graph Reasoning for Fact Checking over Texts and Tables
H Gong, W Xu, S Wu, Q Liu, L Wang
Proceedings of the AAAI Conference on Artificial Intelligence 38 (1), 100-108, 2024
42024
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