Daokun Zhang

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 30

Top Topics

Survival Prediction

Graph Representation

Semantically Enriched

Top Venues

IEEE Trans. Circuits Syst. Video Technol.

Publications

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 (2024)
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 (2024)
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) (2023)
Yixin Liu, Yizhen Zheng, Daokun Zhang, Vincent C. S. Lee, Shirui Pan
Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating. AAAI (2023)
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)
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 (2023)
Guangsi Shi, Daokun Zhang, Ming Jin, Shirui Pan
Towards Complex Dynamic Physics System Simulation with Graph Neural ODEs. CoRR (2023)
Daokun Zhang, Jie Yin, Philip S. Yu
Link Prediction with Contextualized Self-Supervision. IEEE Trans. Knowl. Data Eng. 35 (7) (2023)
Qijie Ding, Jie Yin, Daokun Zhang, Junbin Gao
Combating Confirmation Bias: A Unified Pseudo-Labeling Framework for Entity Alignment. CoRR (2023)
Qijie Ding, Daokun Zhang, Jie Yin
Conflict-Aware Pseudo Labeling via Optimal Transport for Entity Alignment. ICDM (2022)
Yixin Liu, Yu Zheng, Daokun Zhang, Hongxu Chen, Hao Peng, Shirui Pan
Towards Unsupervised Deep Graph Structure Learning. CoRR (2022)
Daokun Zhang, Jie Yin, Philip S. Yu
Link Prediction with Contextualized Self-Supervision. CoRR (2022)
Yixin Liu, Yizhen Zheng, Daokun Zhang, Vincent C. S. Lee, Shirui Pan
Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating. CoRR (2022)
Qijie Ding, Daokun Zhang, Jie Yin
Conflict-Aware Pseudo Labeling via Optimal Transport for Entity Alignment. CoRR (2022)
Yixin Liu, Yu Zheng, Daokun Zhang, Hongxu Chen, Hao Peng, Shirui Pan
Towards Unsupervised Deep Graph Structure Learning. WWW (2022)
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) (2022)
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)
Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
Search Efficient Binary Network Embedding. ACM Trans. Knowl. Discov. Data 15 (4) (2021)
Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
Network Representation Learning: A Survey. IEEE Trans. Big Data 6 (1) (2020)
Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
Search Efficient Binary Network Embedding. CoRR (2019)
Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
Attributed network embedding via subspace discovery. Data Min. Knowl. Discov. 33 (6) (2019)
Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
Attributed Network Embedding via Subspace Discovery. CoRR (2019)
Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
SINE: Scalable Incomplete Network Embedding. ICDM (2018)
Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
MetaGraph2Vec: Complex Semantic Path Augmented Heterogeneous Network Embedding. PAKDD (2) (2018)
Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
MetaGraph2Vec: Complex Semantic Path Augmented Heterogeneous Network Embedding. CoRR (2018)
Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
Network Representation Learning: A Survey. CoRR (2018)
Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
SINE: Scalable Incomplete Network Embedding. CoRR (2018)
Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
User Profile Preserving Social Network Embedding. IJCAI (2017)
Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
Collective Classification via Discriminative Matrix Factorization on Sparsely Labeled Networks. CIKM (2016)
Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang
Homophily, Structure, and Content Augmented Network Representation Learning. ICDM (2016)