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Daokun Zhang
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2020 – today
- 2024
- [j9]Mengmeng Gao, Daokun Zhang, Yi Chen, Yiwen Zhang, Zhikang Wang, Xiaoyu Wang, Shanshan Li, Yuming Guo, Geoffrey I. Webb, Anh T. N. Nguyen, Lauren T. May, Jiangning Song:
GraphormerDTI: A graph transformer-based approach for drug-target interaction prediction. Comput. Biol. Medicine 173: 108339 (2024) - [j8]Guangsi Shi, Daokun Zhang, Ming Jin, Shirui Pan, Philip S. Yu:
Towards complex dynamic physics system simulation with graph neural ordinary equations. Neural Networks 176: 106341 (2024) - 2023
- [j7]Zhikang Wang, Qian Gao, Xiaoping Yi, Xinyu Zhang, Yiwen Zhang, Daokun Zhang, Pietro Liò, Chris Bain, Richard Bassed, Shanshan Li, Yuming Guo, Seiya Imoto, Jianhua Yao, Roger J. Daly, Jiangning Song:
Surformer: An interpretable pattern-perceptive survival transformer for cancer survival prediction from histopathology whole slide images. Comput. Methods Programs Biomed. 241: 107733 (2023) - [j6]Zhanchen Zhu, Daokun Zhang, Zhikang Wang, Siyuan Feng, Peibo Duan:
Spectral Dual-Channel Encoding for Image Dehazing. IEEE Trans. Circuits Syst. Video Technol. 33(11): 6236-6248 (2023) - [j5]Daokun Zhang, Jie Yin, Philip S. Yu:
Link Prediction with Contextualized Self-Supervision. IEEE Trans. Knowl. Data Eng. 35(7): 7138-7151 (2023) - [c10]Yixin Liu, Yizhen Zheng, Daokun Zhang, Vincent C. S. Lee, Shirui Pan:
Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating. AAAI 2023: 4516-4524 - [c9]Kai Zhang, Daokun Zhang, Ning Liu, Yonghua Yang, Yonghui Xu, Zhongmin Yan, Hui Li, Lizhen Cui:
Sample and Feature Enhanced Few-Shot Knowledge Graph Completion. DASFAA (2) 2023: 800-809 - [i11]Guangsi Shi, Daokun Zhang, Ming Jin, Shirui Pan:
Towards Complex Dynamic Physics System Simulation with Graph Neural ODEs. CoRR abs/2305.12334 (2023) - [i10]Qijie Ding, Jie Yin, Daokun Zhang, Junbin Gao:
Combating Confirmation Bias: A Unified Pseudo-Labeling Framework for Entity Alignment. CoRR abs/2307.02075 (2023) - 2022
- [j4]Weiming Huang, Lizhen Cui, Meng Chen, Daokun Zhang, Yao Yao:
Estimating urban functional distributions with semantics preserved POI embedding. Int. J. Geogr. Inf. Sci. 36(10): 1905-1930 (2022) - [c8]Qijie Ding, Daokun Zhang, Jie Yin:
Conflict-Aware Pseudo Labeling via Optimal Transport for Entity Alignment. ICDM 2022: 915-920 - [c7]Yixin Liu, Yu Zheng, Daokun Zhang, Hongxu Chen, Hao Peng, Shirui Pan:
Towards Unsupervised Deep Graph Structure Learning. WWW 2022: 1392-1403 - [i9]Yixin Liu, Yu Zheng, Daokun Zhang, Hongxu Chen, Hao Peng, Shirui Pan:
Towards Unsupervised Deep Graph Structure Learning. CoRR abs/2201.06367 (2022) - [i8]Daokun Zhang, Jie Yin, Philip S. Yu:
Link Prediction with Contextualized Self-Supervision. CoRR abs/2201.10069 (2022) - [i7]Qijie Ding, Daokun Zhang, Jie Yin:
Conflict-Aware Pseudo Labeling via Optimal Transport for Entity Alignment. CoRR abs/2209.01847 (2022) - [i6]Yixin Liu, Yizhen Zheng, Daokun Zhang, Vincent C. S. Lee, Shirui Pan:
Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating. CoRR abs/2211.14065 (2022) - 2021
- [j3]Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang:
Search Efficient Binary Network Embedding. ACM Trans. Knowl. Discov. Data 15(4): 61:1-61:27 (2021) - [c6]Shipeng Wang, Daokun Zhang, Lizhen Cui, Xudong Lu, Lei Liu, Qingzhong Li:
Personality Traits Prediction Based on Sparse Digital Footprints via Discriminative Matrix Factorization. DASFAA (2) 2021: 692-700 - 2020
- [j2]Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang:
Network Representation Learning: A Survey. IEEE Trans. Big Data 6(1): 3-28 (2020)
2010 – 2019
- 2019
- [b1]Daokun Zhang:
Augmented network embedding in attributed graphs. University of Technology Sydney , Australia, 2019 - [j1]Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang:
Attributed network embedding via subspace discovery. Data Min. Knowl. Discov. 33(6): 1953-1980 (2019) - [i5]Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang:
Attributed Network Embedding via Subspace Discovery. CoRR abs/1901.04095 (2019) - [i4]Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang:
Search Efficient Binary Network Embedding. CoRR abs/1901.04097 (2019) - 2018
- [c5]Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang:
SINE: Scalable Incomplete Network Embedding. ICDM 2018: 737-746 - [c4]Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang:
MetaGraph2Vec: Complex Semantic Path Augmented Heterogeneous Network Embedding. PAKDD (2) 2018: 196-208 - [i3]Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang:
Network Representation Learning: A Survey. CoRR abs/1801.05852 (2018) - [i2]Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang:
MetaGraph2Vec: Complex Semantic Path Augmented Heterogeneous Network Embedding. CoRR abs/1803.02533 (2018) - [i1]Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang:
SINE: Scalable Incomplete Network Embedding. CoRR abs/1810.06768 (2018) - 2017
- [c3]Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang:
User Profile Preserving Social Network Embedding. IJCAI 2017: 3378-3384 - 2016
- [c2]Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang:
Collective Classification via Discriminative Matrix Factorization on Sparsely Labeled Networks. CIKM 2016: 1563-1572 - [c1]Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang:
Homophily, Structure, and Content Augmented Network Representation Learning. ICDM 2016: 609-618
Coauthor Index
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