Dingshuo Chen

19 papers A* 6Journal 13
YearRankTypeTitle / Venue / Authors
2025 J jnl
Graffe: Graph Representation Learning via Diffusion Probabilistic Models.
CoRR
Dingshuo Chen, Shuchen Xue, Liuji Chen, Yingheng Wang, Qiang Liu, Shu Wu, Zhi-Ming Ma, Liang Wang
2025 A* conf
IceBerg: Debiased Self-Training for Class-Imbalanced Node Classification.
WWW
Zhixun Li, Dingshuo Chen, Tong Zhao, Daixin Wang, Hongrui Liu, Zhiqiang Zhang, Jun Zhou, Jeffrey Xu Yu
2025 J jnl
IceBerg: Debiased Self-Training for Class-Imbalanced Node Classification.
CoRR
Zhixun Li, Dingshuo Chen, Tong Zhao, Daixin Wang, Hongrui Liu, Zhiqiang Zhang, Jun Zhou, Jeffrey Xu Yu
2025 J jnl
Improving Multi-task GNNs for Molecular Property Prediction via Missing Label Imputation.
Mach. Intell. Res.
Fenyu Hu, Dingshuo Chen, Qiang Liu, Shu Wu
2025 J jnl
Materials Generation in the Era of Artificial Intelligence: A Comprehensive Survey.
CoRR
Zhixun Li, Bin Cao, Rui Jiao, Liang Wang, Ding Wang, Yang Liu, Dingshuo Chen, Jia Li, Qiang Liu, Yu Rong, Liang Wang, Tong-yi Zhang, Jeffrey Xu Yu
2024 A* conf
Beyond Efficiency: Molecular Data Pruning for Enhanced Generalization.
NeurIPS
Dingshuo Chen, Zhixun Li, Yuyan Ni, Guibin Zhang, Ding Wang, Qiang Liu, Shu Wu, Jeffrey Xu Yu, Liang Wang
2024 J jnl
Beyond Efficiency: Molecular Data Pruning for Enhanced Generalization.
CoRR
Dingshuo Chen, Zhixun Li, Yuyan Ni, Guibin Zhang, Ding Wang, Qiang Liu, Shu Wu, Jeffrey Xu Yu, Liang Wang
2024 A* conf
GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning.
NeurIPS
Guibin Zhang, Haonan Dong, Yuchen Zhang, Zhixun Li, Dingshuo Chen, Kai Wang, Tianlong Chen, Yuxuan Liang, Dawei Cheng, Kun Wang
2024 J jnl
GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning.
CoRR
Guibin Zhang, Haonan Dong, Yuchen Zhang, Zhixun Li, Dingshuo Chen, Kai Wang, Tianlong Chen, Yuxuan Liang, Dawei Cheng, Kun Wang
2024 J jnl
Molecular Contrastive Pretraining with Collaborative Featurizations.
J. Chem. Inf. Model.
Yanqiao Zhu, Dingshuo Chen, Yuanqi Du, Yingze Wang, Qiang Liu, Shu Wu
2023 A* conf
GSLB: The Graph Structure Learning Benchmark.
NeurIPS
Zhixun Li, Xin Sun, Yifan Luo, Yanqiao Zhu, Dingshuo Chen, Yingtao Luo, Xiangxin Zhou, Qiang Liu, Shu Wu, Liang Wang, Jeffrey Xu Yu
2023 J jnl
GSLB: The Graph Structure Learning Benchmark.
CoRR
Zhixun Li, Liang Wang, Xin Sun, Yifan Luo, Yanqiao Zhu, Dingshuo Chen, Yingtao Luo, Xiangxin Zhou, Qiang Liu, Shu Wu, Liang Wang, Jeffrey Xu Yu
2023 A* conf
Uncovering Neural Scaling Laws in Molecular Representation Learning.
NeurIPS
Dingshuo Chen, Yanqiao Zhu, Jieyu Zhang, Yuanqi Du, Zhixun Li, Qiang Liu, Shu Wu, Liang Wang
2023 J jnl
Uncovering Neural Scaling Laws in Molecular Representation Learning.
CoRR
Dingshuo Chen, Yanqiao Zhu, Jieyu Zhang, Yuanqi Du, Zhixun Li, Qiang Liu, Shu Wu, Liang Wang
2022 J jnl
Improving Molecular Pretraining with Complementary Featurizations.
CoRR
Yanqiao Zhu, Dingshuo Chen, Yuanqi Du, Yingze Wang, Qiang Liu, Shu Wu
2022 J jnl
Learning Graph Structures With Transformer for Multivariate Time-Series Anomaly Detection in IoT.
IEEE Internet Things J.
Zekai Chen, Dingshuo Chen, Xiao Zhang, Zixuan Yuan, Xiuzhen Cheng
2022 A* conf
The Devil is in the Conflict: Disentangled Information Graph Neural Networks for Fraud Detection.
ICDM
Zhixun Li, Dingshuo Chen, Qiang Liu, Shu Wu
2022 J jnl
The Devil is in the Conflict: Disentangled Information Graph Neural Networks for Fraud Detection.
CoRR
Zhixun Li, Dingshuo Chen, Qiang Liu, Shu Wu
2021 J jnl
Learning Graph Structures with Transformer for Multivariate Time Series Anomaly Detection in IoT.
CoRR
Zekai Chen, Dingshuo Chen, Zixuan Yuan, Xiuzhen Cheng, Xiao Zhang