Towards Knowledge-Based Recommender Dialog System. - Qibin Chen; Junyang Lin; Yichang Zhang; Ming Ding 004; Yukuo Cen; Hongxia Yang; Jie Tang 001 (EMNLP/IJCNLP (1), 2019)

Representation Learning for Attributed Multiplex Heterogeneous Network. - Yukuo Cen; Xu Zou 001; Jianwei Zhang 012; Hongxia Yang; Jingren Zhou 001; Jie Tang 001 (KDD, 2019)

Controllable Multi-Interest Framework for Recommendation. - Yukuo Cen; Jianwei Zhang 012; Xu Zou 001; Chang Zhou; Hongxia Yang; Jie Tang 001 (KDD, 2020)

Trust Relationship Prediction in Alibaba E-Commerce Platform. - Yukuo Cen; Jing Zhang 001; Gaofei Wang; Yujie Qian; Chuizheng Meng; Zonghong Dai; Hongxia Yang; Jie Tang 001 (IEEE Trans. Knowl. Data Eng., 2020)

Graph Representation Learning: Foundations, Methods, Applications and Systems. - Wei Jin 009; Yao Ma 001; Yiqi Wang 001; Xiaorui Liu; Jiliang Tang; Yukuo Cen; Jiezhong Qiu; Jie Tang 001; Chuan Shi 001; Yanfang Ye 001; Jiawei Zhang 001; Philip S. Yu (KDD, 2021)

Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning. - Qinkai Zheng; Xu Zou 001; Yuxiao Dong; Yukuo Cen; Da Yin; Jiarong Xu; Yang Yang 009; Jie Tang 001 (NeurIPS Datasets and Benchmarks, 2021)

WuDaoCorpora: A super large-scale Chinese corpora for pre-training language models. - Sha Yuan; Hanyu Zhao; Zhengxiao Du; Ming Ding 004; Xiao Liu 036; Yukuo Cen; Xu Zou 001; Zhilin Yang 001; Jie Tang 001 (AI Open, 2021)

CogDL: An Extensive Toolkit for Deep Learning on Graphs. - Yukuo Cen; Zhenyu Hou; Yan Wang 120; Qibin Chen; Yizhen Luo; Xingcheng Yao; Aohan Zeng; Shiguang Guo; Peng Zhang 077; Guohao Dai; Yu Wang 002; Chang Zhou; et al. (CoRR, 2021)

Improving the Training of Graph Neural Networks with Consistency Regularization. - Chenhui Zhang; Yufei He; Yukuo Cen; Zhenyu Hou; Jie Tang 001 (CoRR, 2021)

GACT: Activation Compressed Training for Generic Network Architectures. - Xiaoxuan Liu; Lianmin Zheng; Dequan Wang; Yukuo Cen; Weize Chen; Xu Han 007; Jianfei Chen; Zhiyuan Liu 001; Jie Tang 001; Joey Gonzalez; Michael W. Mahoney; Alvin Cheung (ICML, 2022)

Rethinking the Setting of Semi-supervised Learning on Graphs. - Ziang Li; Ming Ding 004; Weikai Li 002; Zihan Wang; Ziyu Zeng; Yukuo Cen; Jie Tang 001 (IJCAI, 2022)

GraphMAE: Self-Supervised Masked Graph Autoencoders. - Zhenyu Hou; Xiao Liu 036; Yukuo Cen; Yuxiao Dong; Hongxia Yang; Chunjie Wang; Jie Tang 001 (KDD, 2022)

Mask and Reason: Pre-Training Knowledge Graph Transformers for Complex Logical Queries. - Xiao Liu 036; Shiyu Zhao; Kai Su; Yukuo Cen; Jiezhong Qiu; Mengdi Zhang 002; Wei Wu 014; Yuxiao Dong; Jie Tang 001 (KDD, 2022)

GACT: Activation Compressed Training for General Architectures. - Xiaoxuan Liu; Lianmin Zheng; Dequan Wang; Yukuo Cen; Weize Chen; Xu Han 007; Jianfei Chen; Zhiyuan Liu 001; Jie Tang 001; Joey Gonzalez; Michael W. Mahoney; Alvin Cheung (CoRR, 2022)

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 001 (AAAI, 2023)

BatchSampler: Sampling Mini-Batches for Contrastive Learning in Vision, Language, and Graphs. - Zhen Yang 034; Tinglin Huang; Ming Ding 004; Yuxiao Dong; Rex Ying; Yukuo Cen; Yangliao Geng; Jie Tang 001 (KDD, 2023)

CogDL: A Comprehensive Library for Graph Deep Learning. - Yukuo Cen; Zhenyu Hou; Yan Wang 120; Qibin Chen; Yizhen Luo; Zhongming Yu; Hengrui Zhang; Xingcheng Yao; Aohan Zeng; Shiguang Guo; Yuxiao Dong; Yang Yang 009; et al. (WWW, 2023)

GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner. - Zhenyu Hou; Yufei He; Yukuo Cen; Xiao Liu 036; Yuxiao Dong; Evgeny Kharlamov; Jie Tang 001 (WWW, 2023)

Automated Unsupervised Graph Representation Learning. - Zhenyu Hou; Yukuo Cen; Yuxiao Dong; Jie Zhang 078; Jie Tang 001 (IEEE Trans. Knowl. Data Eng., 2023)

LongRAG: A Dual-Perspective Retrieval-Augmented Generation Paradigm for Long-Context Question Answering. - Qingfei Zhao; Ruobing Wang; Yukuo Cen; Daren Zha; Shicheng Tan; Yuxiao Dong; Jie Tang 001 (EMNLP, 2024)

OAG-Bench: A Human-Curated Benchmark for Academic Graph Mining. - Fanjin Zhang; Shijie Shi; Yifan Zhu 001; Bo Chen 026; Yukuo Cen; Jifan Yu; Yelin Chen; Lulu Wang; Qingfei Zhao; Yuqing Cheng; Tianyi Han; Yuwei An; et al. (KDD, 2024)

Pre-Training and Prompting for Few-Shot Node Classification on Text-Attributed Graphs. - Huanjing Zhao; Beining Yang; Yukuo Cen; Junyu Ren; Chenhui Zhang; Yuxiao Dong; Evgeny Kharlamov; Shu Zhao; Jie Tang 001 (KDD, 2024)

PST-Bench: Tracing and Benchmarking the Source of Publications. - Fanjin Zhang; Kun Cao; Yukuo Cen; Jifan Yu; Da Yin; Jie Tang 001 (CoRR, 2024)

GraphAlign: Pretraining One Graph Neural Network on Multiple Graphs via Feature Alignment. - Zhenyu Hou; Haozhan Li; Yukuo Cen; Jie Tang 001; Yuxiao Dong (CoRR, 2024)

Generalizing Graph Transformers Across Diverse Graphs and Tasks via Pre-Training on Industrial-Scale Data. - Yufei He; Zhenyu Hou; Yukuo Cen; Feng He; Xu Cheng; Bryan Hooi (CoRR, 2024)

Does Negative Sampling Matter? a Review With Insights Into its Theory and Applications. - Zhen Yang 034; Ming Ding 004; Tinglin Huang; Yukuo Cen; Junshuai Song; Bin Xu 001; Yuxiao Dong; Jie Tang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

LPS-GNN : Deploying Graph Neural Networks on Graphs with 100-Billion Edges. - Xu Cheng; Liang Yao; Feng He; Yukuo Cen; Yufei He; Chenhui Zhang; Wenzheng Feng; Hongyun Cai 001; Jie Tang 001 (CoRR, 2025)