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Junjie Xu
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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
2192021
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
1502022
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
812021
HP-GMN: Graph memory networks for heterophilous graphs
J Xu, E Dai, X Zhang, S Wang
IEEE International Conference on Data Mining 2022, 2022
242022
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
52024
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
42024
Shape-aware Graph Spectral Learning
J Xu, E Dai, D Luo, X Zhang, S Wang
arXiv preprint arXiv:2310.10064, 2023
4*2023
HC-GST: Heterophily-aware Distribution Consistency based Graph Self-training
F Wang, T Zhao, J Xu, S Wang
Proceedings of the 33rd ACM International Conference on Information and …, 2024
22024
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
22023
Stealing Training Graphs from Graph Neural Networks
M Lin, E Dai, J Xu, J Jia, X Zhang, S Wang
arXiv preprint arXiv:2411.11197, 2024
2024
A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness
F Wang, Z Zhang, X Zhang, Z Wu, T Mo, Q Lu, W Wang, R Li, J Xu, X Tang, ...
arXiv preprint arXiv:2411.03350, 2024
2024
Beyond Sequence: Impact of Geometric Context for RNA Property Prediction
J Xu, A Moskalev, T Mansi, M Prakash, R Liao
arXiv preprint arXiv:2410.11933, 2024
2024
Enhancing Data-Limited Graph Neural Networks by Actively Distilling Knowledge from Large Language Models
Q Li, T Zhao, L Chen, J Xu, S Wang
arXiv e-prints, arXiv: 2407.13989, 2024
2024
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