---
title: "KDD 2023 — accepted papers — Elamur Research"
description: "KDD 2023 — accepted papers: 2 papers in the Elamur Research library, with our summaries, ranked by citations."
canonical: "https://research.elamur.ai/free/en/venues/acm-sigkdd-conference-on-knowledge-discovery-and-data-mining-kdd/2023/"
---
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# KDD 2023 — accepted papers

KDD 2023 is the 2023 edition of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD). OpenAlex lists 558 papers of it; our library holds 2 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

[**558** papers in the proceedings](#all) · [**2** works in our library](https://md.research.elamur.ai/free/en/venues/acm-sigkdd-conference-on-knowledge-discovery-and-data-mining-kdd/2023/#works) · [**557** citations of these works](https://md.research.elamur.ai/free/en/venues/acm-sigkdd-conference-on-knowledge-discovery-and-data-mining-kdd/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. **[DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly Detection ↗](https://doi.org/10.1145/3580305.3599295)**Yiyuan Yang, Chaoli Zhang, Tian Zhou et al.*355 citations*
2. **[CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X](https://md.research.elamur.ai/free/en/papers/zheng-2023-codegeex-pre-trained-model-code/)**Qinkai Zheng, Xiao Xia, Xu Zou et al.*310 citations · our summary*
3. **[TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting ↗](https://doi.org/10.1145/3580305.3599533)**Vijay Ekambaram, Arindam Jati, Nam H. Nguyen et al.*278 citations*
4. **[Adaptive Graph Contrastive Learning for Recommendation ↗](https://doi.org/10.1145/3580305.3599768)**Yangqin Jiang, Chao Huang, Lianghao Huang*189 citations*
5. **[All in One: Multi-Task Prompting for Graph Neural Networks ↗](https://doi.org/10.1145/3580305.3599256)**Xiangguo Sun, Hong Cheng, Jia Li et al.*173 citations*
6. **[Knowledge Graph Self-Supervised Rationalization for Recommendation ↗](https://doi.org/10.1145/3580305.3599400)**Yuhao Yang, Chao Huang, Lianghao Xia et al.*173 citations*
7. **[Text Is All You Need: Learning Language Representations for Sequential Recommendation ↗](https://doi.org/10.1145/3580305.3599519)**Jiacheng Li, Ming Wang, Li Jin et al.*169 citations*
8. **[Deep Weakly-supervised Anomaly Detection ↗](https://doi.org/10.1145/3580305.3599302)**Guansong Pang, Chunhua Shen, Huidong Jin et al.*138 citations*
9. **[Imputation-based Time-Series Anomaly Detection with Conditional Weight-Incremental Diffusion Models ↗](https://doi.org/10.1145/3580305.3599391)**Chunjing Xiao, Zehua Gou, Wenxin Tai et al.*110 citations*
10. **[What's Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders ↗](https://doi.org/10.1145/3580305.3599546)**Jintang Li, Ruofan Wu, Wangbin Sun et al.*108 citations*

## All accepted papers (558)

The most cited first; 2 with our summary link to their page here, the others to the original.

1. **[DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly Detection ↗](https://doi.org/10.1145/3580305.3599295)**Yiyuan Yang, Chaoli Zhang, Tian Zhou et al.*355 citations*
2. **[CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X](https://md.research.elamur.ai/free/en/papers/zheng-2023-codegeex-pre-trained-model-code/)**Qinkai Zheng, Xiao Xia, Xu Zou et al.*310 citations · our summary*
3. **[TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting ↗](https://doi.org/10.1145/3580305.3599533)**Vijay Ekambaram, Arindam Jati, Nam H. Nguyen et al.*278 citations*
4. **[Adaptive Graph Contrastive Learning for Recommendation ↗](https://doi.org/10.1145/3580305.3599768)**Yangqin Jiang, Chao Huang, Lianghao Huang*189 citations*
5. **[All in One: Multi-Task Prompting for Graph Neural Networks ↗](https://doi.org/10.1145/3580305.3599256)**Xiangguo Sun, Hong Cheng, Jia Li et al.*173 citations*
6. **[Knowledge Graph Self-Supervised Rationalization for Recommendation ↗](https://doi.org/10.1145/3580305.3599400)**Yuhao Yang, Chao Huang, Lianghao Xia et al.*173 citations*
7. **[Text Is All You Need: Learning Language Representations for Sequential Recommendation ↗](https://doi.org/10.1145/3580305.3599519)**Jiacheng Li, Ming Wang, Li Jin et al.*169 citations*
8. **[Deep Weakly-supervised Anomaly Detection ↗](https://doi.org/10.1145/3580305.3599302)**Guansong Pang, Chunhua Shen, Huidong Jin et al.*138 citations*
9. **[Imputation-based Time-Series Anomaly Detection with Conditional Weight-Incremental Diffusion Models ↗](https://doi.org/10.1145/3580305.3599391)**Chunjing Xiao, Zehua Gou, Wenxin Tai et al.*110 citations*
10. **[What's Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders ↗](https://doi.org/10.1145/3580305.3599546)**Jintang Li, Ruofan Wu, Wangbin Sun et al.*108 citations*
11. **[Demystifying Fraudulent Transactions and Illicit Nodes in the Bitcoin Network for Financial Forensics ↗](https://doi.org/10.1145/3580305.3599803)**Youssef Elmougy, Ling Liu*106 citations*
12. **[FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy ↗](https://doi.org/10.1145/3580305.3599345)**Jianqing Zhang, Hua Yang, Hao Wang et al.*105 citations*
13. **[PEPNet: Parameter and Embedding Personalized Network for Infusing with Personalized Prior Information ↗](https://doi.org/10.1145/3580305.3599884)**Jianxin Chang, Chenbin Zhang, Yiqun Hui et al.*104 citations*
14. **[Generative AI meets Responsible AI: Practical Challenges and Opportunities ↗](https://doi.org/10.1145/3580305.3599557)**Krishnaram Kenthapadi, Himabindu Lakkaraju, Nazneen Fatema Rajani*94 citations*
15. **[FedMultimodal: A Benchmark for Multimodal Federated Learning ↗](https://doi.org/10.1145/3580305.3599825)**Tiantian Feng, Digbalay Bose, Tuo Zhang et al.*86 citations*
16. **[TwHIN-BERT: A Socially-Enriched Pre-trained Language Model for Multilingual Tweet Representations at Twitter ↗](https://doi.org/10.1145/3580305.3599921)**Xinyang Zhang, Yury A. Malkov, Omar U. Florez et al.*76 citations*
17. **[Towards Next-Generation Intelligent Assistants Leveraging LLM Techniques ↗](https://doi.org/10.1145/3580305.3599572)**Xin Luna Dong, Seungwhan Moon, Yifan Ethan Xu et al.*72 citations*
18. **[AdaProp: Learning Adaptive Propagation for Graph Neural Network based Knowledge Graph Reasoning ↗](https://doi.org/10.1145/3580305.3599404)**Yongqi Zhang, Zhanke Zhou, Quanming Yao et al.*70 citations*
19. **[Deep Transfer Learning for City-scale Cellular Traffic Generation through Urban Knowledge Graph ↗](https://doi.org/10.1145/3580305.3599801)**Shiyuan Zhang, Tong Li, Shuodi Hui et al.*70 citations*
20. **[Robust Multimodal Failure Detection for Microservice Systems ↗](https://doi.org/10.1145/3580305.3599902)**Chenyu Zhao, Minghua Ma, Zhenyu Zhong et al.*69 citations*
21. **[TWIN: TWo-stage Interest Network for Lifelong User Behavior Modeling in CTR Prediction at Kuaishou ↗](https://doi.org/10.1145/3580305.3599922)**Jianxin Chang, Chenbin Zhang, Zhiyi Fu et al.*68 citations*
22. **[ShapleyFL: Robust Federated Learning Based on Shapley Value ↗](https://doi.org/10.1145/3580305.3599500)**Qiheng Sun, Xiang Li, Jiayao Zhang et al.*67 citations*
23. **[WinGNN: Dynamic Graph Neural Networks with Random Gradient Aggregation Window ↗](https://doi.org/10.1145/3580305.3599551)**Yifan Zhu, Fangpeng Cong, Dan Zhang et al.*67 citations*
24. **[Learning Behavior-oriented Knowledge Tracing ↗](https://doi.org/10.1145/3580305.3599407)**Bihan Xu, Zhenya Huang, Jiayu Liu et al.*62 citations*
25. **[Transferable Graph Structure Learning for Graph-based Traffic Forecasting Across Cities ↗](https://doi.org/10.1145/3580305.3599529)**Yilun Jin, Kai Chen, Qiang Yang*62 citations*

[See all 558 papers in KDD 2023 — accepted papers →](https://md.research.elamur.ai/free/en/venues/acm-sigkdd-conference-on-knowledge-discovery-and-data-mining-kdd/2023/papers/)

## Papers with our summary in our library (2)

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

1. **[CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X](https://md.research.elamur.ai/free/en/papers/zheng-2023-codegeex-pre-trained-model-code/) [ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)](https://md.research.elamur.ai/free/en/venues/acm-sigkdd-conference-on-knowledge-discovery-and-data-mining-kdd/)**Qinkai Zheng, Xiao Xia, Xu Zou, et al.*2023 · 462 citations*
2. **[WebGLM: Towards An Efficient Web-Enhanced Question Answering System with Human Preferences](https://md.research.elamur.ai/free/en/papers/liu-2023-webglm-efficient-web-enhanced/) [ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)](https://md.research.elamur.ai/free/en/venues/acm-sigkdd-conference-on-knowledge-discovery-and-data-mining-kdd/)**Xiao Liu, Hanyu Lai, Hao Yu, et al.*2023 · 95 citations*

## Top topics

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

[Question answering (1)](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Multilingual & cross-lingual NLP (1)](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Code & programming languages (1)](https://md.research.elamur.ai/free/en/topics/code-and-programming/) · [Information retrieval & search (1)](https://md.research.elamur.ai/free/en/topics/information-retrieval/)

## Fields

[Arts and Humanities (2)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science (2)](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.

[🧑‍🔬**Yuxiao Dong**2 works here · 557 citations](https://md.research.elamur.ai/free/en/authors/yuxiao-dong/) · [🧑‍🔬**Qinkai Zheng**1 work here · 462 citations](https://md.research.elamur.ai/free/en/authors/qinkai-zheng/) · [🧑‍🔬**Teng Su**1 work here · 462 citations](https://md.research.elamur.ai/free/en/authors/teng-su/) · [🧑‍🔬**Xiao Xia**1 work here · 462 citations](https://md.research.elamur.ai/free/en/authors/xiao-xia/) · [🧑‍🔬**Xu Zou**1 work here · 462 citations](https://md.research.elamur.ai/free/en/authors/xu-zou/) · [🧑‍🔬**Yang Li**1 work here · 462 citations](https://md.research.elamur.ai/free/en/authors/yang-li/) · [🧑‍🔬**Zhilin Yang**1 work here · 462 citations](https://md.research.elamur.ai/free/en/authors/zhilin-yang/) · [🧑‍🔬**Zihan Wang**1 work here · 462 citations](https://md.research.elamur.ai/free/en/authors/zihan-wang/) · [🧑‍🔬**Aohan Zeng**1 work here · 95 citations](https://md.research.elamur.ai/free/en/authors/aohan-zeng/) · [🧑‍🔬**Hanyu Lai**1 work here · 95 citations](https://md.research.elamur.ai/free/en/authors/hanyu-lai/) · [🧑‍🔬**Hao Yu**1 work here · 95 citations](https://md.research.elamur.ai/free/en/authors/hao-yu/) · [🧑‍🔬**Jie Tang**1 work here · 95 citations](https://md.research.elamur.ai/free/en/authors/jie-tang/)

## Top institutions

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

[🏢**Zhipu AI** Beijing · China 2 works here](https://md.research.elamur.ai/free/en/companies/zhipu-ai/) · [🎓**Tsinghua University** Beijing · China 2 works here](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🏢**Huawei Technologies** Shenzhen · China 1 work here](https://md.research.elamur.ai/free/en/companies/huawei-technologies/) · [🎓**Beihang University** Beijing · China 1 work here](https://md.research.elamur.ai/free/en/universities/beihang-university/)

works and citations from OpenAlex and our library.

- [next → KDD 2024](https://md.research.elamur.ai/free/en/venues/acm-sigkdd-conference-on-knowledge-discovery-and-data-mining-kdd/2024/)
- [↑ back to KDD](https://md.research.elamur.ai/free/en/venues/acm-sigkdd-conference-on-knowledge-discovery-and-data-mining-kdd/)