Daokun Zhang

According to our database, Daokun Zhang authored at least 23 papers between 2016 and 2024.

Collaborative distances:

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

2024

Towards complex dynamic physics system simulation with graph neural ordinary equations.

Guangsi Shi, Daokun Zhang, Ming Jin, Shirui Pan, Philip S. Yu

Neural Networks, 2024

Label Distribution Learning using the Squared Neural Family on the Probability Simplex.

Daokun Zhang, Russell Tsuchida, Dino Sejdinovic

CoRR, 2024

GraphormerDTI: A graph transformer-based approach for drug-target interaction prediction.

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

Comput. Biol. Medicine, 2024

2023

Spectral Dual-Channel Encoding for Image Dehazing.

Zhanchen Zhu, Daokun Zhang, Zhikang Wang, Siyuan Feng, Peibo Duan

IEEE Trans. Circuits Syst. Video Technol., November, 2023

Surformer: An interpretable pattern-perceptive survival transformer for cancer survival prediction from histopathology whole slide images.

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

Comput. Methods Programs Biomed., November, 2023

Link Prediction with Contextualized Self-Supervision.

Daokun Zhang, Jie Yin, Philip S. Yu

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

Combating Confirmation Bias: A Unified Pseudo-Labeling Framework for Entity Alignment.

Qijie Ding, Jie Yin, Daokun Zhang, Junbin Gao

CoRR, 2023

Towards Complex Dynamic Physics System Simulation with Graph Neural ODEs.

Guangsi Shi, Daokun Zhang, Ming Jin, Shirui Pan

CoRR, 2023

Sample and Feature Enhanced Few-Shot Knowledge Graph Completion.

Kai Zhang, Daokun Zhang, Ning Liu, Yonghua Yang, Yonghui Xu, Zhongmin Yan, Hui Li, Lizhen Cui

Proceedings of the Database Systems for Advanced Applications, 2023

Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating.

Yixin Liu, Yizhen Zheng, Daokun Zhang, Vincent C. S. Lee, Shirui Pan

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

2022

Estimating urban functional distributions with semantics preserved POI embedding.

Weiming Huang, Lizhen Cui, Meng Chen, Daokun Zhang, Yao Yao

Int. J. Geogr. Inf. Sci., 2022

Towards Unsupervised Deep Graph Structure Learning.

Yixin Liu, Yu Zheng, Daokun Zhang, Hongxu Chen, Hao Peng, Shirui Pan

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Conflict-Aware Pseudo Labeling via Optimal Transport for Entity Alignment.

Qijie Ding, Daokun Zhang, Jie Yin

Proceedings of the IEEE International Conference on Data Mining, 2022

2021

Search Efficient Binary Network Embedding.

Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang

ACM Trans. Knowl. Discov. Data, 2021

Personality Traits Prediction Based on Sparse Digital Footprints via Discriminative Matrix Factorization.

Shipeng Wang, Daokun Zhang, Lizhen Cui, Xudong Lu, Lei Liu, Qingzhong Li

Proceedings of the Database Systems for Advanced Applications, 2021

2020

Network Representation Learning: A Survey.

Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang

IEEE Trans. Big Data, 2020

2019

Augmented network embedding in attributed graphs

Daokun Zhang

PhD thesis, 2019

Attributed network embedding via subspace discovery.

Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang

Data Min. Knowl. Discov., 2019

2018

MetaGraph2Vec: Complex Semantic Path Augmented Heterogeneous Network Embedding.

Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

SINE: Scalable Incomplete Network Embedding.

Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang

Proceedings of the IEEE International Conference on Data Mining, 2018

2017

User Profile Preserving Social Network Embedding.

Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

Homophily, Structure, and Content Augmented Network Representation Learning.

Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Collective Classification via Discriminative Matrix Factorization on Sparsely Labeled Networks.

Daokun Zhang, Jie Yin, Xingquan Zhu, Chengqi Zhang

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016