---
title: "IEEE Transactions on Knowledge and Data Engineering 2023"
description: "IEEE Transactions on Knowledge and Data Engineering 2023 — papers: 3 papers in the Elamur Research library, with our summaries…"
canonical: "https://research.elamur.ai/free/en/venues/ieee-transactions-on-knowledge-and-data-engineering/2023/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/ieee-transactions-on-knowledge-and-data-engineering/2023/)

[home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [IEEE Transactions on Knowledge and Data…](https://md.research.elamur.ai/free/en/venues/ieee-transactions-on-knowledge-and-data-engineering/) / 2023

# IEEE Transactions on Knowledge and Data Engineering 2023 — papers

The works of IEEE Transactions on Knowledge and Data Engineering published in 2023 that our library holds (publisher: IEEE Computer Society): 3 works, listed below with the most cited first; each has a page with our summary, its key points and its references.

[**464** works that year](#all) · [**3** works in our library](https://md.research.elamur.ai/free/en/venues/ieee-transactions-on-knowledge-and-data-engineering/2023/#works) · [**1,754** citations of these works](https://md.research.elamur.ai/free/en/venues/ieee-transactions-on-knowledge-and-data-engineering/2023/#works)

## Most cited papers

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

1. **[Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey](https://doi.org/10.1109/tkde.2023.3333824)**Guangyin Jin, Yuxuan Liang, Yuchen Fang et al.*568 citations*
2. **[Deep Isolation Forest for Anomaly Detection](https://doi.org/10.1109/tkde.2023.3270293)**Hongzuo Xu, Guansong Pang, Yijie Wang et al.*556 citations*
3. **[Self-Supervised Learning for Recommender Systems: A Survey](https://doi.org/10.1109/tkde.2023.3282907)**Junliang Yu, Hongzhi Yin, Xin Xia et al.*408 citations*
4. **[A Comprehensive Survey on Multi-View Clustering](https://doi.org/10.1109/tkde.2023.3270311)**Uno Fang, Man Li, Jianxin Li et al.*351 citations*
5. **[XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation](https://doi.org/10.1109/tkde.2023.3288135)**Junliang Yu, Xin Xia, Tong Chen et al.*322 citations*
6. **[PromptCast: A New Prompt-Based Learning Paradigm for Time Series Forecasting](https://doi.org/10.1109/tkde.2023.3342137)**Hao Xue, Flora Dilys Salim*302 citations*
7. **[Fast Multi-View Clustering Via Ensembles: Towards Scalability, Superiority, and Simplicity](https://doi.org/10.1109/tkde.2023.3236698)**Dong Huang, Chang‐Dong Wang, Jianhuang Lai*277 citations*
8. **[Multi-Scale Adaptive Graph Neural Network for Multivariate Time Series Forecasting](https://doi.org/10.1109/tkde.2023.3268199)**Ling Chen, Donghui Chen, Zongjiang Shang et al.*243 citations*
9. **[A Survey of Knowledge Enhanced Pre-Trained Language Models](https://doi.org/10.1109/tkde.2023.3310002)**Linmei Hu, Zeyi Liu, Ziwang Zhao et al.*196 citations*
10. **[Knowledge Graph Contrastive Learning Based on Relation-Symmetrical Structure](https://doi.org/10.1109/tkde.2023.3282989)**Ke Liang, Yue Liu, Sihang Zhou et al.*154 citations*

## All works of the year (464)

The most cited first; 3 with our summary link to their page here, the others to the original.

1. **[Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey](https://doi.org/10.1109/tkde.2023.3333824)**Guangyin Jin, Yuxuan Liang, Yuchen Fang et al.*568 citations*
2. **[Deep Isolation Forest for Anomaly Detection](https://doi.org/10.1109/tkde.2023.3270293)**Hongzuo Xu, Guansong Pang, Yijie Wang et al.*556 citations*
3. **[Self-Supervised Learning for Recommender Systems: A Survey](https://doi.org/10.1109/tkde.2023.3282907)**Junliang Yu, Hongzhi Yin, Xin Xia et al.*408 citations*
4. **[A Comprehensive Survey on Multi-View Clustering](https://doi.org/10.1109/tkde.2023.3270311)**Uno Fang, Man Li, Jianxin Li et al.*351 citations*
5. **[XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation](https://doi.org/10.1109/tkde.2023.3288135)**Junliang Yu, Xin Xia, Tong Chen et al.*322 citations*
6. **[PromptCast: A New Prompt-Based Learning Paradigm for Time Series Forecasting](https://doi.org/10.1109/tkde.2023.3342137)**Hao Xue, Flora Dilys Salim*302 citations*
7. **[Fast Multi-View Clustering Via Ensembles: Towards Scalability, Superiority, and Simplicity](https://doi.org/10.1109/tkde.2023.3236698)**Dong Huang, Chang‐Dong Wang, Jianhuang Lai*277 citations*
8. **[Multi-Scale Adaptive Graph Neural Network for Multivariate Time Series Forecasting](https://doi.org/10.1109/tkde.2023.3268199)**Ling Chen, Donghui Chen, Zongjiang Shang et al.*243 citations*
9. **[A Survey of Knowledge Enhanced Pre-Trained Language Models](https://doi.org/10.1109/tkde.2023.3310002)**Linmei Hu, Zeyi Liu, Ziwang Zhao et al.*196 citations*
10. **[Knowledge Graph Contrastive Learning Based on Relation-Symmetrical Structure](https://doi.org/10.1109/tkde.2023.3282989)**Ke Liang, Yue Liu, Sihang Zhou et al.*154 citations*
11. **[Knowledge Graph Augmented Network Towards Multiview Representation Learning for Aspect-Based Sentiment Analysis](https://doi.org/10.1109/tkde.2023.3250499)**Qihuang Zhong, Liang Ding, Juhua Liu et al.*149 citations*
12. **[Spatio-Temporal Joint Graph Convolutional Networks for Traffic Forecasting](https://doi.org/10.1109/tkde.2023.3284156)**Chuanpan Zheng, Xiaoliang Fan, Shirui Pan et al.*142 citations*
13. **[An Efficient Spectral Clustering Algorithm Based on Granular-Ball](https://doi.org/10.1109/tkde.2023.3249475)**Jiang Xie, Weiyu Kong, Shuyin Xia et al.*137 citations*
14. **[Fairness in Graph Mining: A Survey](https://doi.org/10.1109/tkde.2023.3265598)**Yushun Dong, Jing Ma, Song Wang et al.*136 citations*
15. **[Data Lakes: A Survey of Functions and Systems](https://doi.org/10.1109/tkde.2023.3270101)**Rihan Hai, Christos Koutras, Christoph Quix et al.*125 citations*
16. **[Multi-Modal Hashing for Efficient Multimedia Retrieval: A Survey](https://doi.org/10.1109/tkde.2023.3282921)**Lei Zhu, Chaoqun Zheng, Weili Guan et al.*125 citations*
17. **[Enhanced Multi-Task Learning and Knowledge Graph-Based Recommender System](https://doi.org/10.1109/tkde.2023.3251897)**Min Gao, Jian-Yu Li, Chunhua Chen et al.*118 citations*
18. **[Interoperability in Blockchain: A Survey](https://doi.org/10.1109/tkde.2023.3275220)**Kunpeng Ren, Nhut-Minh Ho, Dumitrel Loghin et al.*112 citations*
19. **[A Multi-Type Transferable Method for Missing Link Prediction in Heterogeneous Social Networks](https://doi.org/10.1109/tkde.2022.3233481)**Huan Wang, Ziwen Cui, Ruigang Liu et al.*102 citations*
20. **[A Survey of Graph-Based Deep Learning for Anomaly Detection in Distributed Systems](https://doi.org/10.1109/tkde.2023.3282898)**Armin Danesh Pazho, Ghazal Alinezhad Noghre, Arnab A Purkayastha et al.*102 citations*
21. **[Comprehensive Privacy Analysis on Federated Recommender System Against Attribute Inference Attacks](https://doi.org/10.1109/tkde.2023.3295601)**Shijie Zhang, Wei Yuan, Hongzhi Yin*97 citations*
22. **[STD: A Seasonal-Trend-Dispersion Decomposition of Time Series](https://doi.org/10.1109/tkde.2023.3268125)**Grzegorz Dudek*94 citations*
23. **[Self-Supervised Graph Completion for Incomplete Multi-View Clustering](https://doi.org/10.1109/tkde.2023.3238416)**Cheng Liu, Si Wu, Rui Li et al.*94 citations*
24. **[Human Cognition-Based Consistency Inference Networks for Multi-Modal Fake News Detection](https://doi.org/10.1109/tkde.2023.3280555)**Lianwei Wu, Pusheng Liu, Yongqiang Zhao et al.*88 citations*
25. **[Anti-Money Laundering by Group-Aware Deep Graph Learning](https://doi.org/10.1109/tkde.2023.3272396)**Dawei Cheng, Yujia Ye, Sheng Xiang et al.*84 citations*

[See all 464 papers in IEEE Transactions on Knowledge and Data Engineering 2023 — papers →](https://md.research.elamur.ai/free/en/venues/ieee-transactions-on-knowledge-and-data-engineering/2023/papers/)

## Works with our summary in our library (3)

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

1. **[Unifying Large Language Models and Knowledge Graphs: A Roadmap](https://md.research.elamur.ai/free/en/papers/pan-2023-unifying-large-language-models-knowledge/) [IEEE Transactions on Knowledge and Data Engineering](https://md.research.elamur.ai/free/en/venues/ieee-transactions-on-knowledge-and-data-engineering/)**Shirui Pan, Linhao Luo, Yufei Wang, et al.*2023 · 1,549 citations*
2. **[Are Large Language Models Really Good Logical Reasoners? A Comprehensive Evaluation and Beyond](https://md.research.elamur.ai/free/en/papers/xu-2023-large-language-models-really-good/) [IEEE Transactions on Knowledge and Data Engineering](https://md.research.elamur.ai/free/en/venues/ieee-transactions-on-knowledge-and-data-engineering/)**Fangzhi Xu, Qika Lin, Jiawei Han, et al.*2023 · 141 citations*
3. **[A Survey on Arabic Named Entity Recognition: Past, Recent Advances, and Future Trends](https://md.research.elamur.ai/free/en/papers/qu-2023-survey-arabic-named-entity-recognition/) [IEEE Transactions on Knowledge and Data Engineering](https://md.research.elamur.ai/free/en/venues/ieee-transactions-on-knowledge-and-data-engineering/)**Xiaoye Qu, Yingjie Gu, Qingrong Xia, et al.*2023 · 64 citations*

## Top topics

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

[Language models & pretraining (2)](https://md.research.elamur.ai/free/en/topics/language-models/) · [Named entity recognition (1)](https://md.research.elamur.ai/free/en/topics/named-entity-recognition/) · [Evaluation & benchmarks (1)](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Reasoning (1)](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Knowledge graphs & ontologies (1)](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/) · [Semitic languages (1)](https://md.research.elamur.ai/free/en/topics/semitic-languages/)

## Fields

[Arts and Humanities (3)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science (3)](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.

[🧑‍🔬**Chen Chen**1 work here · 1,549 citations](https://md.research.elamur.ai/free/en/authors/chen-chen/) · [🧑‍🔬**Shirui Pan**1 work here · 1,549 citations](https://md.research.elamur.ai/free/en/authors/shirui-pan/) · [🧑‍🔬**Xindong Wu**1 work here · 1,549 citations](https://md.research.elamur.ai/free/en/authors/xindong-wu/) · [🧑‍🔬**Yufei Wang**1 work here · 1,549 citations](https://md.research.elamur.ai/free/en/authors/yufei-wang/) · [🧑‍🔬**Erik Cambria**1 work here · 141 citations](https://md.research.elamur.ai/free/en/authors/erik-cambria/) · [🧑‍🔬**Fangzhi Xu**1 work here · 141 citations](https://md.research.elamur.ai/free/en/authors/fangzhi-xu/) · [🧑‍🔬**Jiawei Han**1 work here · 141 citations](https://md.research.elamur.ai/free/en/authors/jiawei-han/) · [🧑‍🔬**Qika Lin**1 work here · 141 citations](https://md.research.elamur.ai/free/en/authors/qika-lin/) · [🧑‍🔬**Baoxing Huai**1 work here · 64 citations](https://md.research.elamur.ai/free/en/authors/baoxing-huai/) · [🧑‍🔬**Xiaoye Qu**1 work here · 64 citations](https://md.research.elamur.ai/free/en/authors/xiaoye-qu/) · [🧑‍🔬**Zhefeng Wang**1 work here · 64 citations](https://md.research.elamur.ai/free/en/authors/zhefeng-wang/)

## Top institutions

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

[🎓**Nanyang Technological University** Singapore · Singapore 2 works here](https://md.research.elamur.ai/free/en/universities/nanyang-technological-university/) · [🎓**Griffith University** Brisbane · Australia 1 work here](https://md.research.elamur.ai/free/en/universities/griffith-university/) · [🎓**Hefei University of Technology** Hefei · China 1 work here](https://md.research.elamur.ai/free/en/universities/hefei-university-of-technology/) · [🏢**Huawei Technologies** Shenzhen · China 1 work here](https://md.research.elamur.ai/free/en/companies/huawei-technologies/) · [🎓**Beijing University of Technology** Beijing · China 1 work here](https://md.research.elamur.ai/free/en/universities/beijing-university-of-technology/) · [🔬**Zhejiang Lab** Hangzhou · China 1 work here](https://md.research.elamur.ai/free/en/labs/zhejiang-lab/) · [🎓**Monash University** Melbourne · Australia 1 work here](https://md.research.elamur.ai/free/en/universities/monash-university/) · [🎓**Xi'an Jiaotong University** Xi'an · China 1 work here](https://md.research.elamur.ai/free/en/universities/xi-an-jiaotong-university/)

works and citations from OpenAlex and our library.

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