Junjie Xu
Sitert av
Sitert av
Revisiting time series outlier detection: Definitions and benchmarks
KH Lai, D Zha, J Xu, Y Zhao, G Wang, X Hu
Thirty-fifth conference on neural information processing systems datasets …, 2021
A comprehensive survey on trustworthy graph neural networks: Privacy, robustness, fairness, and explainability
E Dai, T Zhao, H Zhu, J Xu, Z Guo, H Liu, J Tang, S Wang
arXiv preprint arXiv:2204.08570, 2022
TODS: An automated time series outlier detection system
KH Lai, D Zha, G Wang, J Xu, Y Zhao, D Kumar, Y Chen, P Zumkhawaka, ...
Proceedings of the aaai conference on artificial intelligence 35 (18), 16060 …, 2021
HP-GMN: Graph memory networks for heterophilous graphs
J Xu, E Dai, X Zhang, S Wang
IEEE International Conference on Data Mining 2022, 2022
Shape-aware Graph Spectral Learning
J Xu, E Dai, D Luo, X Zhang, S Wang
arXiv preprint arXiv:2310.10064, 2023
LLM and GNN are Complementary: Distilling LLM for Multimodal Graph Learning
J Xu, Z Wu, M Lin, X Zhang, S Wang
arXiv preprint arXiv:2406.01032, 2024
Self-explainable graph neural networks for link prediction
H Zhu, D Luo, X Tang, J Xu, H Liu, S Wang
arXiv preprint arXiv:2305.12578, 2023
Robustness-Inspired Defense Against Backdoor Attacks on Graph Neural Networks
Z Zhang, M Lin, J Xu, Z Wu, E Dai, S Wang
arXiv preprint arXiv:2406.09836, 2024
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Artikler 1–8