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2020 – today
- 2024
[j4]Zhen Yang
, Ming Ding, Tinglin Huang, Yukuo Cen, Junshuai Song, Bin Xu, Yuxiao Dong, Jie Tang:
Does Negative Sampling Matter? a Review With Insights Into its Theory and Applications. IEEE Trans. Pattern Anal. Mach. Intell. 46(8): 5692-5711 (2024)- [c15]Huanjing Zhao, Beining Yang, Yukuo Cen, Junyu Ren, Chenhui Zhang, Yuxiao Dong, Evgeny Kharlamov, Shu Zhao, Jie Tang:
Pre-Training and Prompting for Few-Shot Node Classification on Text-Attributed Graphs. KDD 2024: 4467-4478 - [c14]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:
OAG-Bench: A Human-Curated Benchmark for Academic Graph Mining. KDD 2024: 6214-6225 - [i18]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:
OAG-Bench: A Human-Curated Benchmark for Academic Graph Mining. CoRR abs/2402.15810 (2024) - [i17]Fanjin Zhang, Kun Cao, Yukuo Cen, Jifan Yu, Da Yin, Jie Tang:
PST-Bench: Tracing and Benchmarking the Source of Publications. CoRR abs/2402.16009 (2024) - [i16]Zhen Yang, Ming Ding, Tinglin Huang, Yukuo Cen, Junshuai Song, Bin Xu, Yuxiao Dong, Jie Tang:
Does Negative Sampling Matter? A Review with Insights into its Theory and Applications. CoRR abs/2402.17238 (2024) - [i15]Zhenyu Hou, Haozhan Li, Yukuo Cen, Jie Tang, Yuxiao Dong:
GraphAlign: Pretraining One Graph Neural Network on Multiple Graphs via Feature Alignment. CoRR abs/2406.02953 (2024) - [i14]Yufei He, Zhenyu Hou, Yukuo Cen, Feng He, Xu Cheng, Bryan Hooi:
Generalizing Graph Transformers Across Diverse Graphs and Tasks via Pre-Training on Industrial-Scale Data. CoRR abs/2407.03953 (2024) - [i13]Huanjing Zhao, Beining Yang, Yukuo Cen, Junyu Ren, Chenhui Zhang, Yuxiao Dong, Evgeny Kharlamov, Shu Zhao, Jie Tang:
Pre-Training and Prompting for Few-Shot Node Classification on Text-Attributed Graphs. CoRR abs/2407.15431 (2024) - 2023
- [j3]Zhenyu Hou, Yukuo Cen, Yuxiao Dong, Jie Zhang, Jie Tang:
Automated Unsupervised Graph Representation Learning. IEEE Trans. Knowl. Data Eng. 35(3): 2285-2298 (2023) - [c13]Zhenyu Hou, Yukuo Cen, Ziding Liu, Dongxue Wu, Baoyan Wang, Xuanhe Li, Lei Hong, Jie Tang:
MTDiag: An Effective Multi-Task Framework for Automatic Diagnosis. AAAI 2023: 14241-14248 - [c12]Zhen Yang, Tinglin Huang, Ming Ding, Yuxiao Dong, Rex Ying, Yukuo Cen, Yangliao Geng, Jie Tang:
BatchSampler: Sampling Mini-Batches for Contrastive Learning in Vision, Language, and Graphs. KDD 2023: 3057-3069 - [c11]Zhenyu Hou, Yufei He, Yukuo Cen, Xiao Liu, Yuxiao Dong, Evgeny Kharlamov, Jie Tang:
GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner. WWW 2023: 737-746 - [c10]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:
CogDL: A Comprehensive Library for Graph Deep Learning. WWW 2023: 747-758 - [i12]Zhenyu Hou, Yufei He, Yukuo Cen, Xiao Liu, Yuxiao Dong, Evgeny Kharlamov, Jie Tang:
GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner. CoRR abs/2304.04779 (2023) - [i11]Zhen Yang, Tinglin Huang, Ming Ding, Yuxiao Dong, Rex Ying, Yukuo Cen, Yangliao Geng, Jie Tang:
BatchSampler: Sampling Mini-Batches for Contrastive Learning in Vision, Language, and Graphs. CoRR abs/2306.03355 (2023) - 2022
- [c9]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:
GACT: Activation Compressed Training for Generic Network Architectures. ICML 2022: 14139-14152 - [c8]Ziang Li, Ming Ding, Weikai Li, Zihan Wang, Ziyu Zeng, Yukuo Cen, Jie Tang:
Rethinking the Setting of Semi-supervised Learning on Graphs. IJCAI 2022: 3243-3249 - [c7]Zhenyu Hou, Xiao Liu, Yukuo Cen, Yuxiao Dong, Hongxia Yang, Chunjie Wang, Jie Tang:
GraphMAE: Self-Supervised Masked Graph Autoencoders. KDD 2022: 594-604 - [c6]Xiao Liu, Shiyu Zhao, Kai Su, Yukuo Cen, Jiezhong Qiu, Mengdi Zhang, Wei Wu, Yuxiao Dong, Jie Tang:
Mask and Reason: Pre-Training Knowledge Graph Transformers for Complex Logical Queries. KDD 2022: 1120-1130 - [i10]Zhenyu Hou, Xiao Liu, Yukuo Cen, Yuxiao Dong, Hongxia Yang, Chunjie Wang, Jie Tang:
GraphMAE: Self-Supervised Masked Graph Autoencoders. CoRR abs/2205.10803 (2022) - [i9]Ziang Li, Ming Ding, Weikai Li, Zihan Wang, Ziyu Zeng, Yukuo Cen, Jie Tang:
Rethinking the Setting of Semi-supervised Learning on Graphs. CoRR abs/2205.14403 (2022) - [i8]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:
GACT: Activation Compressed Training for General Architectures. CoRR abs/2206.11357 (2022) - [i7]Xiao Liu, Shiyu Zhao, Kai Su, Yukuo Cen, Jiezhong Qiu, Mengdi Zhang, Wei Wu, Yuxiao Dong, Jie Tang:
Mask and Reason: Pre-Training Knowledge Graph Transformers for Complex Logical Queries. CoRR abs/2208.07638 (2022) - 2021
- [j2]Sha Yuan, Hanyu Zhao, Zhengxiao Du, Ming Ding, Xiao Liu, Yukuo Cen, Xu Zou, Zhilin Yang, Jie Tang:
WuDaoCorpora: A super large-scale Chinese corpora for pre-training language models. AI Open 2: 65-68 (2021) - [c5]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:
Graph Representation Learning: Foundations, Methods, Applications and Systems. KDD 2021: 4044-4045 - [c4]Qinkai Zheng, Xu Zou, Yuxiao Dong, Yukuo Cen, Da Yin, Jiarong Xu, Yang Yang, Jie Tang:
Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning. NeurIPS Datasets and Benchmarks 2021 - [i6]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:
CogDL: An Extensive Toolkit for Deep Learning on Graphs. CoRR abs/2103.00959 (2021) - [i5]Qinkai Zheng, Xu Zou, Yuxiao Dong, Yukuo Cen, Da Yin, Jiarong Xu, Yang Yang, Jie Tang:
Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning. CoRR abs/2111.04314 (2021) - [i4]Chenhui Zhang, Yufei He, Yukuo Cen, Zhenyu Hou, Jie Tang:
Improving the Training of Graph Neural Networks with Consistency Regularization. CoRR abs/2112.04319 (2021) - 2020
- [j1]Yukuo Cen, Jing Zhang, Gaofei Wang, Yujie Qian, Chuizheng Meng, Zonghong Dai, Hongxia Yang, Jie Tang:
Trust Relationship Prediction in Alibaba E-Commerce Platform. IEEE Trans. Knowl. Data Eng. 32(5): 1024-1035 (2020) - [c3]Yukuo Cen, Jianwei Zhang, Xu Zou, Chang Zhou, Hongxia Yang, Jie Tang:
Controllable Multi-Interest Framework for Recommendation. KDD 2020: 2942-2951 - [i3]Yukuo Cen, Jianwei Zhang, Xu Zou, Chang Zhou, Hongxia Yang, Jie Tang:
Controllable Multi-Interest Framework for Recommendation. CoRR abs/2005.09347 (2020)
2010 – 2019
- 2019
- [c2]Qibin Chen, Junyang Lin, Yichang Zhang, Ming Ding, Yukuo Cen, Hongxia Yang, Jie Tang:
Towards Knowledge-Based Recommender Dialog System. EMNLP/IJCNLP (1) 2019: 1803-1813 - [c1]Yukuo Cen, Xu Zou, Jianwei Zhang, Hongxia Yang, Jingren Zhou, Jie Tang:
Representation Learning for Attributed Multiplex Heterogeneous Network. KDD 2019: 1358-1368 - [i2]Yukuo Cen, Xu Zou, Jianwei Zhang, Hongxia Yang, Jingren Zhou, Jie Tang:
Representation Learning for Attributed Multiplex Heterogeneous Network. CoRR abs/1905.01669 (2019) - [i1]Qibin Chen, Junyang Lin, Yichang Zhang, Ming Ding, Yukuo Cen, Hongxia Yang, Jie Tang:
Towards Knowledge-Based Recommender Dialog System. CoRR abs/1908.05391 (2019)
Coauthor Index
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last updated on 2024-10-10 22:16 CEST by the dblp team
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