📰 IEEE Transactions on Knowledge and Data Engineering 2021 — papers

The works of IEEE Transactions on Knowledge and Data Engineering published in 2021 that our library holds (publisher: IEEE Computer Society): 1 work, listed below with the most cited first; each has a page with our summary, its key points and its references.

Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

1. A Survey on Multi-Task Learning ↗Yu Zhang, Qiang Yang2,878 citations
2. A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection ↗Qinbin Li, Zeyi Wen, Zhaomin Wu et al.1,387 citations
3. A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications ↗Jie Gui, Zhenan Sun, Yonggang Wen et al.1,202 citations
4. Self-supervised Learning: Generative or Contrastive ↗Xiao Liu, Fanjin Zhang, Zhenyu Hou et al.1,087 citations
5. A Comprehensive Survey on Graph Anomaly Detection With Deep Learning ↗Xiaoxiao Ma, Jia Xin Wu, Shan Xue et al.835 citations
6. Informed Machine Learning - A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems ↗Laura von Rueden, Sebastian Mayer, Katharina Beckh et al.793 citations
7. Learning Dynamics and Heterogeneity of Spatial-Temporal Graph Data for Traffic Forecasting ↗Shengnan Guo, Youfang Lin, Huaiyu Wan et al.764 citations
8. A General Survey on Attention Mechanisms in Deep Learning ↗Gianni Brauwers, Flavius Frăsincar695 citations
9. A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning ↗Di Jin, Zhizhi Yu, Pengfei Jiao et al.397 citations
10. Challenges in KNN Classification ↗Shichao Zhang362 citations

All works of the year (398)

The most cited first; 1 with our summary link to their page here, the others to the original.

1. A Survey on Multi-Task Learning ↗Yu Zhang, Qiang Yang2,878 citations
2. A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection ↗Qinbin Li, Zeyi Wen, Zhaomin Wu et al.1,387 citations
3. A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications ↗Jie Gui, Zhenan Sun, Yonggang Wen et al.1,202 citations
4. Self-supervised Learning: Generative or Contrastive ↗Xiao Liu, Fanjin Zhang, Zhenyu Hou et al.1,087 citations
5. A Comprehensive Survey on Graph Anomaly Detection With Deep Learning ↗Xiaoxiao Ma, Jia Xin Wu, Shan Xue et al.835 citations
6. Informed Machine Learning - A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems ↗Laura von Rueden, Sebastian Mayer, Katharina Beckh et al.793 citations
7. Learning Dynamics and Heterogeneity of Spatial-Temporal Graph Data for Traffic Forecasting ↗Shengnan Guo, Youfang Lin, Huaiyu Wan et al.764 citations
8. A General Survey on Attention Mechanisms in Deep Learning ↗Gianni Brauwers, Flavius Frăsincar695 citations
9. A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning ↗Di Jin, Zhizhi Yu, Pengfei Jiao et al.397 citations
10. Challenges in KNN Classification ↗Shichao Zhang362 citations
11. Unsupervised Deep Anomaly Detection for Multi-Sensor Time-Series Signals ↗Yuxin Zhang, Yiqiang Chen, Jindong Wang et al.312 citations
12. Self-Supervised Learning on Graphs: Contrastive, Generative, or Predictive ↗Lirong Wu, Haitao Lin, Cheng Tan et al.290 citations
13. Combining Graph Neural Networks with Expert Knowledge for Smart Contract Vulnerability Detection ↗Zhenguang Liu, Peng Qian, Xiaoyang Wang et al.259 citations
14. Sparse Graph Attention Networks ↗Yang Ye, Shihao Ji221 citations
15. Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection ↗Yu Zheng, Ming Jin, Yixin Liu et al.220 citations
16. Cross-View Locality Preserved Diversity and Consensus Learning for Multi-View Unsupervised Feature Selection ↗Chang Tang, Xiao Zheng, Xinwang Liu et al.216 citations
17. Measuring Diversity in Graph Learning: A Unified Framework for Structured Multi-View Clustering ↗Shudong Huang, Ivor Wai-Hung Tsang, Zenglin Xu et al.206 citations
18. Multi-view Attributed Graph Clustering ↗Zhiping Lin, Zhao Kang, Lizong Zhang et al.199 citations
19. DCT-GAN: Dilated Convolutional Transformer-Based GAN for Time Series Anomaly Detection ↗Yifan Li, Xiaoyan Peng, Jia Zhang et al.167 citations
20. Interpretable and Efficient Heterogeneous Graph Convolutional Network ↗Yaming Yang, Ziyu Guan, Jianxin Li et al.166 citations
21. Current Time Series Anomaly Detection Benchmarks are Flawed and are Creating the Illusion of Progress ↗Renjie Wu, Eamonn Keogh150 citations
22. An Integrated Multi-Task Model for Fake News Detection ↗Qing Liao, Heyan Chai, Hao Han et al.147 citations
23. Anomaly Detection in Dynamic Graphs via Transformer ↗Yixin Liu, Shirui Pan, Yu Guang Wang et al.134 citations
24. Fast and Accurate Non-Negative Latent Factor Analysis of High-Dimensional and Sparse Matrices in Recommender Systems ↗Xin Luo, Yue Zhou, Zhigang Liu et al.133 citations
25. Applications of Differential Privacy in Social Network Analysis: A Survey ↗Honglu Jiang, Jian Pei, Dongxiao Yu et al.130 citations

See all 398 papers in IEEE Transactions on Knowledge and Data Engineering 2021 — papers →

📄 Works with our summary in our library (1)

The most cited first (OpenAlex citations plus our library's).

1. Refined Commonsense Knowledge from Large-Scale Web ContentsIEEE Transactions on Knowledge and Data EngineeringTuan-Phong Nguyen, Simon Razniewski, Julien Romero, et al.2021 · 38 citations

🧭 Top topics

Topics of its works in our library, with the number of works on each.

🧮Reasoning (1)

📚 Fields

🎭Arts and Humanities (1)🖥️Computer Science (1)

🧑‍🔬 Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

🏛️ Top institutions

Institutions on the bylines of its works here, by the number of works.

🔬Max Planck Institute for InformaticsSaarbrücken · Germany1 work here🎓Télécom SudParisÉvry-Courcouronnes · France1 work here

works and citations from OpenAlex and our library.

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/venues/ieee-transactions-on-knowledge-and-data-engineering/2021/