Yukuo Cen

According to our database, Yukuo Cen authored at least 22 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Does Negative Sampling Matter? A Review with Insights into its Theory and Applications.

Zhen Yang, Ming Ding, Tinglin Huang, Yukuo Cen, Junshuai Song, Bin Xu, Yuxiao Dong, Jie Tang

CoRR, 2024

PST-Bench: Tracing and Benchmarking the Source of Publications.

Fanjin Zhang, Kun Cao, Yukuo Cen, Jifan Yu, Da Yin, Jie Tang

CoRR, 2024

OAG-Bench: A Human-Curated Benchmark for Academic Graph Mining.

Fanjin Zhang, Shijie Shi, Yifan Zhu, Bo Chen, Yukuo Cen, Jifan Yu, Yelin Chen, Lulu Wang, Qingfei Zhao, Yuqing Cheng, Tianyi Han, Yuwei An, Dan Zhang, Weng Lam Tam, Kun Cao, Yunhe Pang, Xinyu Guan, Huihui Yuan, Jian Song, Xiaoyan Li, Yuxiao Dong, Jie Tang

CoRR, 2024

2023

Automated Unsupervised Graph Representation Learning.

Zhenyu Hou, Yukuo Cen, Yuxiao Dong, Jie Zhang, Jie Tang

IEEE Trans. Knowl. Data Eng., March, 2023

GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner.

Zhenyu Hou, Yufei He, Yukuo Cen, Xiao Liu, Yuxiao Dong, Evgeny Kharlamov, Jie Tang

Proceedings of the ACM Web Conference 2023, 2023

CogDL: A Comprehensive Library for Graph Deep Learning.

Yukuo Cen, Zhenyu Hou, Yan Wang, Qibin Chen, Yizhen Luo, Zhongming Yu, Hengrui Zhang, Xingcheng Yao, Aohan Zeng, Shiguang Guo, Yuxiao Dong, Yang Yang, Peng Zhang, Guohao Dai, Yu Wang, Chang Zhou, Hongxia Yang, Jie Tang

Proceedings of the ACM Web Conference 2023, 2023

BatchSampler: Sampling Mini-Batches for Contrastive Learning in Vision, Language, and Graphs.

Zhen Yang, Tinglin Huang, Ming Ding, Yuxiao Dong, Rex Ying, Yukuo Cen, Yangliao Geng, Jie Tang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

MTDiag: An Effective Multi-Task Framework for Automatic Diagnosis.

Zhenyu Hou, Yukuo Cen, Ziding Liu, Dongxue Wu, Baoyan Wang, Xuanhe Li, Lei Hong, Jie Tang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

GACT: Activation Compressed Training for General Architectures.

Xiaoxuan Liu, Lianmin Zheng, Dequan Wang, Yukuo Cen, Weize Chen, Xu Han, Jianfei Chen, Zhiyuan Liu, Jie Tang, Joey Gonzalez, Michael W. Mahoney, Alvin Cheung

CoRR, 2022

Mask and Reason: Pre-Training Knowledge Graph Transformers for Complex Logical Queries.

Xiao Liu, Shiyu Zhao, Kai Su, Yukuo Cen, Jiezhong Qiu, Mengdi Zhang, Wei Wu, Yuxiao Dong, Jie Tang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

GraphMAE: Self-Supervised Masked Graph Autoencoders.

Zhenyu Hou, Xiao Liu, Yukuo Cen, Yuxiao Dong, Hongxia Yang, Chunjie Wang, Jie Tang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Rethinking the Setting of Semi-supervised Learning on Graphs.

Ziang Li, Ming Ding, Weikai Li, Zihan Wang, Ziyu Zeng, Yukuo Cen, Jie Tang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

GACT: Activation Compressed Training for Generic Network Architectures.

Xiaoxuan Liu, Lianmin Zheng, Dequan Wang, Yukuo Cen, Weize Chen, Xu Han, Jianfei Chen, Zhiyuan Liu, Jie Tang, Joey Gonzalez, Michael W. Mahoney, Alvin Cheung

Proceedings of the International Conference on Machine Learning, 2022

2021

Improving the Training of Graph Neural Networks with Consistency Regularization.

Chenhui Zhang, Yufei He, Yukuo Cen, Zhenyu Hou, Jie Tang

CoRR, 2021

CogDL: An Extensive Toolkit for Deep Learning on Graphs.

Yukuo Cen, Zhenyu Hou, Yan Wang, Qibin Chen, Yizhen Luo, Xingcheng Yao, Aohan Zeng, Shiguang Guo, Peng Zhang, Guohao Dai, Yu Wang, Chang Zhou, Hongxia Yang, Jie Tang

CoRR, 2021

WuDaoCorpora: A super large-scale Chinese corpora for pre-training language models.

Sha Yuan, Hanyu Zhao, Zhengxiao Du, Ming Ding, Xiao Liu, Yukuo Cen, Xu Zou, Zhilin Yang, Jie Tang

AI Open, 2021

Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning.

Qinkai Zheng, Xu Zou, Yuxiao Dong, Yukuo Cen, Da Yin, Jiarong Xu, Yang Yang, Jie Tang

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Graph Representation Learning: Foundations, Methods, Applications and Systems.

Wei Jin, Yao Ma, Yiqi Wang, Xiaorui Liu, Jiliang Tang, Yukuo Cen, Jiezhong Qiu, Jie Tang, Chuan Shi, Yanfang Ye, Jiawei Zhang, Philip S. Yu

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

Trust Relationship Prediction in Alibaba E-Commerce Platform.

Yukuo Cen, Jing Zhang, Gaofei Wang, Yujie Qian, Chuizheng Meng, Zonghong Dai, Hongxia Yang, Jie Tang

IEEE Trans. Knowl. Data Eng., 2020

Controllable Multi-Interest Framework for Recommendation.

Yukuo Cen, Jianwei Zhang, Xu Zou, Chang Zhou, Hongxia Yang, Jie Tang

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

Representation Learning for Attributed Multiplex Heterogeneous Network.

Yukuo Cen, Xu Zou, Jianwei Zhang, Hongxia Yang, Jingren Zhou, Jie Tang

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Towards Knowledge-Based Recommender Dialog System.

Qibin Chen, Junyang Lin, Yichang Zhang, Ming Ding, Yukuo Cen, Hongxia Yang, Jie Tang

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019