📰 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.

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 ↗Zhenyu Hou, Xiao Liu, Yukuo Cen et al.618 citations
2. FLDetector: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients ↗Zaixi Zhang, Xiaoyu Cao, Jinyuan Jia et al.340 citations
3. Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecasting ↗Zezhi Shao, Zhao Zhang, Fei Wang et al.304 citations
4. Towards Universal Sequence Representation Learning for Recommender Systems ↗Yupeng Hou, Shanlei Mu, Wayne Xin Zhao et al.304 citations
5. Graph Neural Networks: Foundation, Frontiers and Applications ↗Lingfei Wu, Peng Cui, Jian Pei et al.213 citations
6. Towards Representation Alignment and Uniformity in Collaborative Filtering ↗Chenyang Wang, Yuanqing Yu, Weizhi Ma et al.200 citations
7. Causal Attention for Interpretable and Generalizable Graph Classification ↗Yongduo Sui, Xiang Wang, Jiancan Wu et al.189 citations
8. ROLAND: Graph Learning Framework for Dynamic Graphs ↗Jiaxuan You, Tianyu Du, Jure Leskovec180 citations
9. Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation ↗Yuhao Yang, Chao Huang, Lianghao Xia et al.175 citations
10. GPPT: Graph Pre-training and Prompt Tuning to Generalize Graph Neural Networks ↗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 ↗Zhenyu Hou, Xiao Liu, Yukuo Cen et al.618 citations
2. FLDetector: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients ↗Zaixi Zhang, Xiaoyu Cao, Jinyuan Jia et al.340 citations
3. Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecasting ↗Zezhi Shao, Zhao Zhang, Fei Wang et al.304 citations
4. Towards Universal Sequence Representation Learning for Recommender Systems ↗Yupeng Hou, Shanlei Mu, Wayne Xin Zhao et al.304 citations
5. Graph Neural Networks: Foundation, Frontiers and Applications ↗Lingfei Wu, Peng Cui, Jian Pei et al.213 citations
6. Towards Representation Alignment and Uniformity in Collaborative Filtering ↗Chenyang Wang, Yuanqing Yu, Weizhi Ma et al.200 citations
7. Causal Attention for Interpretable and Generalizable Graph Classification ↗Yongduo Sui, Xiang Wang, Jiancan Wu et al.189 citations
8. ROLAND: Graph Learning Framework for Dynamic Graphs ↗Jiaxuan You, Tianyu Du, Jure Leskovec180 citations
9. Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation ↗Yuhao Yang, Chao Huang, Lianghao Xia et al.175 citations
10. GPPT: Graph Pre-training and Prompt Tuning to Generalize Graph Neural Networks ↗Mingchen Sun, Kaixiong Zhou, Xin Zhi He et al.161 citations
11. Self-Supervised Hypergraph Transformer for Recommender Systems ↗Lianghao Xia, Chao Huang, Chuxu Zhang161 citations
12. Towards Unified Conversational Recommender Systems via Knowledge-Enhanced Prompt Learning ↗Xiaolei Wang, Kun Zhou, Ji-Rong Wen et al.160 citations
13. Graph-Flashback Network for Next Location Recommendation ↗Xuan Rao, Lisi Chen, Yong Liu et al.153 citations
14. A New Generation of Perspective API: Efficient Multilingual Character-level TransformersAlyssa Lees, Vinh Q. Tran, Yi Tay et al.152 citations · our summary
15. DocLayNet: A Large Human-Annotated Dataset for Document-Layout Segmentation ↗Birgit Pfitzmann, Christoph Auer, Michele Dolfi et al.150 citations
16. Learned Token Pruning for Transformers ↗Sehoon Kim, Sheng Shen, David Thorsley et al.131 citations
17. Learning Sparse Latent Graph Representations for Anomaly Detection in Multivariate Time Series ↗Siho Han, Simon S. Woo125 citations
18. COSTA ↗Yifei Zhang, Hao Zhu, Zixing Song et al.116 citations
19. Efficient Orthogonal Multi-view Subspace Clustering ↗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 ↗Junchen Ye, Zihan Liu, Bowen Du et al.112 citations
21. MSDR: Multi-Step Dependency Relation Networks for Spatial Temporal Forecasting ↗Dachuan Liu, Jin Wang, Shuo Shang et al.112 citations
22. Graph Attention Multi-Layer Perceptron ↗Wentao Zhang, Ziqi Yin, Zeang Sheng et al.111 citations
23. Contrastive Cross-domain Recommendation in Matching ↗Ruobing Xie, Qi Liu, Liangdong Wang et al.108 citations
24. CrossCBR ↗Yunshan Ma, Yingzhi He, An Zhang et al.106 citations
25. Multiplex Heterogeneous Graph Convolutional Network ↗Pengyang Yu, Chaofan Fu, Yanwei Yu et al.102 citations

See all 534 papers in KDD 2022 — accepted 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 TransformersACM 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)

📚 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.

🏢GoogleMountain View · United States1 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/acm-sigkdd-conference-on-knowledge-discovery-and-data-mining-kdd/2022/