---
title: "KDD 2022 — accepted papers — Elamur Research"
description: "KDD 2022 — accepted papers: 1 paper 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/2022/"
---
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# KDD 2022 — accepted papers

KDD 2022 is the 2022 edition of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD). OpenAlex lists 534 papers of it; our library holds 1 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

[**534** papers in the proceedings](#all) · [**1** work in our library](https://md.research.elamur.ai/free/en/venues/acm-sigkdd-conference-on-knowledge-discovery-and-data-mining-kdd/2022/#works) · [**238** citations of these works](https://md.research.elamur.ai/free/en/venues/acm-sigkdd-conference-on-knowledge-discovery-and-data-mining-kdd/2022/#works)

## Most cited papers

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

1. **[GraphMAE: Self-Supervised Masked Graph Autoencoders ↗](https://doi.org/10.1145/3534678.3539321)**Zhenyu Hou, Xiao Liu, Yukuo Cen et al.*618 citations*
2. **[FLDetector: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients ↗](https://doi.org/10.1145/3534678.3539231)**Zaixi Zhang, Xiaoyu Cao, Jinyuan Jia et al.*340 citations*
3. **[Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecasting ↗](https://doi.org/10.1145/3534678.3539396)**Zezhi Shao, Zhao Zhang, Fei Wang et al.*304 citations*
4. **[Towards Universal Sequence Representation Learning for Recommender Systems ↗](https://doi.org/10.1145/3534678.3539381)**Yupeng Hou, Shanlei Mu, Wayne Xin Zhao et al.*304 citations*
5. **[Graph Neural Networks: Foundation, Frontiers and Applications ↗](https://doi.org/10.1145/3534678.3542609)**Lingfei Wu, Peng Cui, Jian Pei et al.*213 citations*
6. **[Towards Representation Alignment and Uniformity in Collaborative Filtering ↗](https://doi.org/10.1145/3534678.3539253)**Chenyang Wang, Yuanqing Yu, Weizhi Ma et al.*200 citations*
7. **[Causal Attention for Interpretable and Generalizable Graph Classification ↗](https://doi.org/10.1145/3534678.3539366)**Yongduo Sui, Xiang Wang, Jiancan Wu et al.*189 citations*
8. **[ROLAND: Graph Learning Framework for Dynamic Graphs ↗](https://doi.org/10.1145/3534678.3539300)**Jiaxuan You, Tianyu Du, Jure Leskovec*180 citations*
9. **[Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation ↗](https://doi.org/10.1145/3534678.3539342)**Yuhao Yang, Chao Huang, Lianghao Xia et al.*175 citations*
10. **[GPPT: Graph Pre-training and Prompt Tuning to Generalize Graph Neural Networks ↗](https://doi.org/10.1145/3534678.3539249)**Mingchen Sun, Kaixiong Zhou, Xin Zhi He et al.*161 citations*

## All accepted papers (534)

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

1. **[GraphMAE: Self-Supervised Masked Graph Autoencoders ↗](https://doi.org/10.1145/3534678.3539321)**Zhenyu Hou, Xiao Liu, Yukuo Cen et al.*618 citations*
2. **[FLDetector: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients ↗](https://doi.org/10.1145/3534678.3539231)**Zaixi Zhang, Xiaoyu Cao, Jinyuan Jia et al.*340 citations*
3. **[Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecasting ↗](https://doi.org/10.1145/3534678.3539396)**Zezhi Shao, Zhao Zhang, Fei Wang et al.*304 citations*
4. **[Towards Universal Sequence Representation Learning for Recommender Systems ↗](https://doi.org/10.1145/3534678.3539381)**Yupeng Hou, Shanlei Mu, Wayne Xin Zhao et al.*304 citations*
5. **[Graph Neural Networks: Foundation, Frontiers and Applications ↗](https://doi.org/10.1145/3534678.3542609)**Lingfei Wu, Peng Cui, Jian Pei et al.*213 citations*
6. **[Towards Representation Alignment and Uniformity in Collaborative Filtering ↗](https://doi.org/10.1145/3534678.3539253)**Chenyang Wang, Yuanqing Yu, Weizhi Ma et al.*200 citations*
7. **[Causal Attention for Interpretable and Generalizable Graph Classification ↗](https://doi.org/10.1145/3534678.3539366)**Yongduo Sui, Xiang Wang, Jiancan Wu et al.*189 citations*
8. **[ROLAND: Graph Learning Framework for Dynamic Graphs ↗](https://doi.org/10.1145/3534678.3539300)**Jiaxuan You, Tianyu Du, Jure Leskovec*180 citations*
9. **[Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation ↗](https://doi.org/10.1145/3534678.3539342)**Yuhao Yang, Chao Huang, Lianghao Xia et al.*175 citations*
10. **[GPPT: Graph Pre-training and Prompt Tuning to Generalize Graph Neural Networks ↗](https://doi.org/10.1145/3534678.3539249)**Mingchen Sun, Kaixiong Zhou, Xin Zhi He et al.*161 citations*
11. **[Self-Supervised Hypergraph Transformer for Recommender Systems ↗](https://doi.org/10.1145/3534678.3539473)**Lianghao Xia, Chao Huang, Chuxu Zhang*161 citations*
12. **[Towards Unified Conversational Recommender Systems via Knowledge-Enhanced Prompt Learning ↗](https://doi.org/10.1145/3534678.3539382)**Xiaolei Wang, Kun Zhou, Ji-Rong Wen et al.*160 citations*
13. **[Graph-Flashback Network for Next Location Recommendation ↗](https://doi.org/10.1145/3534678.3539383)**Xuan Rao, Lisi Chen, Yong Liu et al.*153 citations*
14. **[A New Generation of Perspective API: Efficient Multilingual Character-level Transformers](https://md.research.elamur.ai/free/en/papers/lees-2022-new-generation-perspective-api/)**Alyssa Lees, Vinh Q. Tran, Yi Tay et al.*152 citations · our summary*
15. **[DocLayNet: A Large Human-Annotated Dataset for Document-Layout Segmentation ↗](https://doi.org/10.1145/3534678.3539043)**Birgit Pfitzmann, Christoph Auer, Michele Dolfi et al.*150 citations*
16. **[Learned Token Pruning for Transformers ↗](https://doi.org/10.1145/3534678.3539260)**Sehoon Kim, Sheng Shen, David Thorsley et al.*131 citations*
17. **[Learning Sparse Latent Graph Representations for Anomaly Detection in Multivariate Time Series ↗](https://doi.org/10.1145/3534678.3539117)**Siho Han, Simon S. Woo*125 citations*
18. **[COSTA ↗](https://doi.org/10.1145/3534678.3539425)**Yifei Zhang, Hao Zhu, Zixing Song et al.*116 citations*
19. **[Efficient Orthogonal Multi-view Subspace Clustering ↗](https://doi.org/10.1145/3534678.3539282)**Man-Sheng Chen, Chang‐Dong Wang, Dong Huang et al.*116 citations*
20. **[Learning the Evolutionary and Multi-scale Graph Structure for Multivariate Time Series Forecasting ↗](https://doi.org/10.1145/3534678.3539274)**Junchen Ye, Zihan Liu, Bowen Du et al.*112 citations*
21. **[MSDR: Multi-Step Dependency Relation Networks for Spatial Temporal Forecasting ↗](https://doi.org/10.1145/3534678.3539397)**Dachuan Liu, Jin Wang, Shuo Shang et al.*112 citations*
22. **[Graph Attention Multi-Layer Perceptron ↗](https://doi.org/10.1145/3534678.3539121)**Wentao Zhang, Ziqi Yin, Zeang Sheng et al.*111 citations*
23. **[Contrastive Cross-domain Recommendation in Matching ↗](https://doi.org/10.1145/3534678.3539125)**Ruobing Xie, Qi Liu, Liangdong Wang et al.*108 citations*
24. **[CrossCBR ↗](https://doi.org/10.1145/3534678.3539229)**Yunshan Ma, Yingzhi He, An Zhang et al.*106 citations*
25. **[Multiplex Heterogeneous Graph Convolutional Network ↗](https://doi.org/10.1145/3534678.3539482)**Pengyang Yu, Chaofan Fu, Yanwei Yu et al.*102 citations*

[See all 534 papers in KDD 2022 — accepted papers →](https://md.research.elamur.ai/free/en/venues/acm-sigkdd-conference-on-knowledge-discovery-and-data-mining-kdd/2022/papers/)

## Papers with our summary in our library (1)

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

1. **[A New Generation of Perspective API: Efficient Multilingual Character-level Transformers](https://md.research.elamur.ai/free/en/papers/lees-2022-new-generation-perspective-api/) [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/)**Alyssa Lees, Vinh Q. Tran, Yi Tay, et al.*2022 · 238 citations*

## Top topics

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

[Multilingual & cross-lingual NLP (1)](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/)

## 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.

[🧑‍🔬**Alyssa Lees**1 work here · 238 citations](https://md.research.elamur.ai/free/en/authors/alyssa-lees/) · [🧑‍🔬**Donald Metzler**1 work here · 238 citations](https://md.research.elamur.ai/free/en/authors/donald-metzler/) · [🧑‍🔬**Jai Gupta**1 work here · 238 citations](https://md.research.elamur.ai/free/en/authors/jai-gupta/) · [🧑‍🔬**Jeffrey Sorensen**1 work here · 238 citations](https://md.research.elamur.ai/free/en/authors/jeffrey-sorensen/) · [🧑‍🔬**Vinh Q. Tran**1 work here · 238 citations](https://md.research.elamur.ai/free/en/authors/vinh-q-tran/) · [🧑‍🔬**Yi Tay**1 work here · 238 citations](https://md.research.elamur.ai/free/en/authors/yi-tay/)

## Top institutions

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

[🏢**Google** Mountain View · United States 1 work here](https://md.research.elamur.ai/free/en/companies/google/)

works and citations from OpenAlex and our library.

- [next → KDD 2023](https://md.research.elamur.ai/free/en/venues/acm-sigkdd-conference-on-knowledge-discovery-and-data-mining-kdd/2023/)
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