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Dingshuo Chen
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Year
Learning Graph Structures with Transformer for Multivariate Time Series Anomaly Detection in IoT
Z Chen, D Chen, Z Yuan, X Cheng, X Zhang
IEEE Internet of Things Journal, 2021
4382021
GSLB: The Graph Structure Learning Benchmark
Z Li, L Wang, X Sun, Y Luo, Y Zhu, D Chen, Y Luo, X Zhou, Q Liu, S Wu, ...
The 37th Conference on Neural Information Processing Systems (NeurIPS 2023), 2023
342023
Molecular Contrastive Pretraining with Collaborative Featurizations
Y Zhu, D Chen, Y Du, Y Wang, Q Liu, S Wu
Journal of Chemical Information and Modeling, 2024
27*2024
Uncovering Neural Scaling Laws in Molecular Representation Learning
D Chen, Y Zhu, J Zhang, Y Du, Z Li, Q Liu, S Wu, L Wang
The 37th Conference on Neural Information Processing Systems (NeurIPS 2023), 2023
172023
The Devil is in the Conflict: Disentangled Information Graph Neural Networks for Fraud Detection
Z Li, D Chen, Q Liu, S Wu
The 22nd IEEE International Conference on Data Mining (ICDM 2022), 2022
162022
Beyond Efficiency: Molecular Data Pruning for Enhanced Generalization
D Chen, Z Li, Y Ni, G Zhang, D Wang, Q Liu, S Wu, JX Yu, L Wang
The 38th Conference on Neural Information Processing Systems (NeurIPS 2024), 2024
32024
GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning
G Zhang, H Dong, Y Zhang, Z Li, D Chen, K Wang, T Chen, Y Liang, ...
The 38th Conference on Neural Information Processing Systems (NeurIPS 2024), 2024
22024
IceBerg: Debiased Self-Training for Class-Imbalanced Node Classification
Z Li, D Chen, T Zhao, D Wang, H Liu, Z Zhang, J Zhou, JX Yu
arXiv preprint arXiv:2502.06280, 2025
2025
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