---
title: "IEEE Transactions on Knowledge and Data Engineering 2021"
description: "IEEE Transactions on Knowledge and Data Engineering 2021 — papers: 1 paper in the Elamur Research library, with our summaries, ranked…"
canonical: "https://research.elamur.ai/free/en/venues/ieee-transactions-on-knowledge-and-data-engineering/2021/"
---
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# 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.

[**398** works that year](#all) · [**1** work in our library](https://md.research.elamur.ai/free/en/venues/ieee-transactions-on-knowledge-and-data-engineering/2021/#works) · [**38** citations of these works](https://md.research.elamur.ai/free/en/venues/ieee-transactions-on-knowledge-and-data-engineering/2021/#works)

## 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 ↗](https://doi.org/10.1109/tkde.2021.3070203)**Yu Zhang, Qiang Yang*2,878 citations*
2. **[A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection ↗](https://doi.org/10.1109/tkde.2021.3124599)**Qinbin Li, Zeyi Wen, Zhaomin Wu et al.*1,387 citations*
3. **[A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications ↗](https://doi.org/10.1109/tkde.2021.3130191)**Jie Gui, Zhenan Sun, Yonggang Wen et al.*1,202 citations*
4. **[Self-supervised Learning: Generative or Contrastive ↗](https://doi.org/10.1109/tkde.2021.3090866)**Xiao Liu, Fanjin Zhang, Zhenyu Hou et al.*1,087 citations*
5. **[A Comprehensive Survey on Graph Anomaly Detection With Deep Learning ↗](https://doi.org/10.1109/tkde.2021.3118815)**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 ↗](https://doi.org/10.1109/tkde.2021.3079836)**Laura von Rueden, Sebastian Mayer, Katharina Beckh et al.*793 citations*
7. **[Learning Dynamics and Heterogeneity of Spatial-Temporal Graph Data for Traffic Forecasting ↗](https://doi.org/10.1109/tkde.2021.3056502)**Shengnan Guo, Youfang Lin, Huaiyu Wan et al.*764 citations*
8. **[A General Survey on Attention Mechanisms in Deep Learning ↗](https://doi.org/10.1109/tkde.2021.3126456)**Gianni Brauwers, Flavius Frăsincar*695 citations*
9. **[A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning ↗](https://doi.org/10.1109/tkde.2021.3104155)**Di Jin, Zhizhi Yu, Pengfei Jiao et al.*397 citations*
10. **[Challenges in KNN Classification ↗](https://doi.org/10.1109/tkde.2021.3049250)**Shichao Zhang*362 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 ↗](https://doi.org/10.1109/tkde.2021.3070203)**Yu Zhang, Qiang Yang*2,878 citations*
2. **[A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection ↗](https://doi.org/10.1109/tkde.2021.3124599)**Qinbin Li, Zeyi Wen, Zhaomin Wu et al.*1,387 citations*
3. **[A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications ↗](https://doi.org/10.1109/tkde.2021.3130191)**Jie Gui, Zhenan Sun, Yonggang Wen et al.*1,202 citations*
4. **[Self-supervised Learning: Generative or Contrastive ↗](https://doi.org/10.1109/tkde.2021.3090866)**Xiao Liu, Fanjin Zhang, Zhenyu Hou et al.*1,087 citations*
5. **[A Comprehensive Survey on Graph Anomaly Detection With Deep Learning ↗](https://doi.org/10.1109/tkde.2021.3118815)**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 ↗](https://doi.org/10.1109/tkde.2021.3079836)**Laura von Rueden, Sebastian Mayer, Katharina Beckh et al.*793 citations*
7. **[Learning Dynamics and Heterogeneity of Spatial-Temporal Graph Data for Traffic Forecasting ↗](https://doi.org/10.1109/tkde.2021.3056502)**Shengnan Guo, Youfang Lin, Huaiyu Wan et al.*764 citations*
8. **[A General Survey on Attention Mechanisms in Deep Learning ↗](https://doi.org/10.1109/tkde.2021.3126456)**Gianni Brauwers, Flavius Frăsincar*695 citations*
9. **[A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning ↗](https://doi.org/10.1109/tkde.2021.3104155)**Di Jin, Zhizhi Yu, Pengfei Jiao et al.*397 citations*
10. **[Challenges in KNN Classification ↗](https://doi.org/10.1109/tkde.2021.3049250)**Shichao Zhang*362 citations*
11. **[Unsupervised Deep Anomaly Detection for Multi-Sensor Time-Series Signals ↗](https://doi.org/10.1109/tkde.2021.3102110)**Yuxin Zhang, Yiqiang Chen, Jindong Wang et al.*312 citations*
12. **[Self-Supervised Learning on Graphs: Contrastive, Generative, or Predictive ↗](https://doi.org/10.1109/tkde.2021.3131584)**Lirong Wu, Haitao Lin, Cheng Tan et al.*290 citations*
13. **[Combining Graph Neural Networks with Expert Knowledge for Smart Contract Vulnerability Detection ↗](https://doi.org/10.1109/tkde.2021.3095196)**Zhenguang Liu, Peng Qian, Xiaoyang Wang et al.*259 citations*
14. **[Sparse Graph Attention Networks ↗](https://doi.org/10.1109/tkde.2021.3072345)**Yang Ye, Shihao Ji*221 citations*
15. **[Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection ↗](https://doi.org/10.1109/tkde.2021.3119326)**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 ↗](https://doi.org/10.1109/tkde.2020.3048678)**Chang Tang, Xiao Zheng, Xinwang Liu et al.*216 citations*
17. **[Measuring Diversity in Graph Learning: A Unified Framework for Structured Multi-View Clustering ↗](https://doi.org/10.1109/tkde.2021.3068461)**Shudong Huang, Ivor Wai-Hung Tsang, Zenglin Xu et al.*206 citations*
18. **[Multi-view Attributed Graph Clustering ↗](https://doi.org/10.1109/tkde.2021.3101227)**Zhiping Lin, Zhao Kang, Lizong Zhang et al.*199 citations*
19. **[DCT-GAN: Dilated Convolutional Transformer-Based GAN for Time Series Anomaly Detection ↗](https://doi.org/10.1109/tkde.2021.3130234)**Yifan Li, Xiaoyan Peng, Jia Zhang et al.*167 citations*
20. **[Interpretable and Efficient Heterogeneous Graph Convolutional Network ↗](https://doi.org/10.1109/tkde.2021.3101356)**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 ↗](https://doi.org/10.1109/tkde.2021.3112126)**Renjie Wu, Eamonn Keogh*150 citations*
22. **[An Integrated Multi-Task Model for Fake News Detection ↗](https://doi.org/10.1109/tkde.2021.3054993)**Qing Liao, Heyan Chai, Hao Han et al.*147 citations*
23. **[Anomaly Detection in Dynamic Graphs via Transformer ↗](https://doi.org/10.1109/tkde.2021.3124061)**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 ↗](https://doi.org/10.1109/tkde.2021.3125252)**Xin Luo, Yue Zhou, Zhigang Liu et al.*133 citations*
25. **[Applications of Differential Privacy in Social Network Analysis: A Survey ↗](https://doi.org/10.1109/tkde.2021.3073062)**Honglu Jiang, Jian Pei, Dongxiao Yu et al.*130 citations*

[See all 398 papers in IEEE Transactions on Knowledge and Data Engineering 2021 — papers →](https://md.research.elamur.ai/free/en/venues/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 Contents](https://md.research.elamur.ai/free/en/papers/nguyen-2021-refined-commonsense-knowledge-large-scale/) [IEEE Transactions on Knowledge and Data Engineering](https://md.research.elamur.ai/free/en/venues/ieee-transactions-on-knowledge-and-data-engineering/)**Tuan-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)](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Fields

[Arts and Humanities (1)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science (1)](https://md.research.elamur.ai/free/en/shelves/computer-science/)

## Top authors

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

[🧑‍🔬**Gerhard Weikum**1 work here · 38 citations](https://md.research.elamur.ai/free/en/authors/gerhard-weikum/) · [🧑‍🔬**Simon Razniewski**1 work here · 38 citations](https://md.research.elamur.ai/free/en/authors/simon-razniewski/) · [🧑‍🔬**Tuan-Phong Nguyen**1 work here · 38 citations](https://md.research.elamur.ai/free/en/authors/tuan-phong-nguyen/)

## Top institutions

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

[🔬**Max Planck Institute for Informatics** Saarbrücken · Germany 1 work here](https://md.research.elamur.ai/free/en/labs/max-planck-institute-for-informatics/) · [🎓**Télécom SudParis** Évry-Courcouronnes · France 1 work here](https://md.research.elamur.ai/free/en/universities/telecom-sudparis/)

works and citations from OpenAlex and our library.

- [← previous IEEE Transactions on Knowledge and Data Engineering 2003](https://md.research.elamur.ai/free/en/venues/ieee-transactions-on-knowledge-and-data-engineering/2003/)
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- [↑ back to IEEE Transactions on Knowledge and Data Engineering](https://md.research.elamur.ai/free/en/venues/ieee-transactions-on-knowledge-and-data-engineering/)