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SIGIR 2022 — accepted papers

SIGIR 2022 is the 2022 edition of the International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR). OpenAlex lists 444 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.

 444papers in the proceedings 1work in our library 48citations of these works

Most cited papers

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

  1. Are Graph Augmentations Necessary? ↗Junliang Yu, Hongzhi Yin, Xin Xia et al.664 citations
  2. Knowledge Graph Contrastive Learning for Recommendation ↗Yuhao Yang, Chao Huang, Lianghao Xia et al.481 citations
  3. Hypergraph Contrastive Collaborative Filtering ↗Lianghao Xia, Chao Huang, Yong Xu et al.445 citations
  4. GETNext ↗Song Yang, Jiamou Liu, Kaiqi Zhao276 citations
  5. Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion ↗Xiang Chen, Ningyu Zhang, Lei Li et al.226 citations
  6. Multi-level Cross-view Contrastive Learning for Knowledge-aware Recommender System ↗Ding Zou, Wei Wei, Xian-Ling Mao et al.226 citations
  7. A Review-aware Graph Contrastive Learning Framework for Recommendation ↗Jie Shuai, Kun Zhang, Le Wu et al.169 citations
  8. CenterCLIP ↗Shuai Zhao, Linchao Zhu, Xiaohan Wang et al.152 citations
  9. Multi-modal Graph Contrastive Learning for Micro-video Recommendation ↗Zixuan Yi, Xi Wang, Iadh Ounis et al.147 citations
  10. Decoupled Side Information Fusion for Sequential Recommendation ↗Yueqi Xie, Peilin Zhou, Sunghun Kim143 citations

All accepted papers (444)

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

  1. Are Graph Augmentations Necessary? ↗Junliang Yu, Hongzhi Yin, Xin Xia et al.664 citations
  2. Knowledge Graph Contrastive Learning for Recommendation ↗Yuhao Yang, Chao Huang, Lianghao Xia et al.481 citations
  3. Hypergraph Contrastive Collaborative Filtering ↗Lianghao Xia, Chao Huang, Yong Xu et al.445 citations
  4. GETNext ↗Song Yang, Jiamou Liu, Kaiqi Zhao276 citations
  5. Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion ↗Xiang Chen, Ningyu Zhang, Lei Li et al.226 citations
  6. Multi-level Cross-view Contrastive Learning for Knowledge-aware Recommender System ↗Ding Zou, Wei Wei, Xian-Ling Mao et al.226 citations
  7. A Review-aware Graph Contrastive Learning Framework for Recommendation ↗Jie Shuai, Kun Zhang, Le Wu et al.169 citations
  8. CenterCLIP ↗Shuai Zhao, Linchao Zhu, Xiaohan Wang et al.152 citations
  9. Multi-modal Graph Contrastive Learning for Micro-video Recommendation ↗Zixuan Yi, Xi Wang, Iadh Ounis et al.147 citations
  10. Decoupled Side Information Fusion for Sequential Recommendation ↗Yueqi Xie, Peilin Zhou, Sunghun Kim143 citations
  11. From Distillation to Hard Negative Sampling ↗Thibault Formal, Carlos Lassance, Benjamin Piwowarski et al.133 citations
  12. CPFair: Personalized Consumer and Producer Fairness Re-ranking for Recommender Systems ↗Mohammadmehdi Naghiaei, Hossein A. Rahmani, Yashar Deldjoo120 citations
  13. CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space ↗Yupeng Hou, Binbin Hu, Zhiqiang Zhang et al.119 citations
  14. DisenCDR ↗Jiangxia Cao, Xixun Lin, Xin Cong et al.119 citations
  15. Graph Trend Filtering Networks for Recommendation ↗Wenqi Fan, Xiaorui Liu, Wei Jin et al.113 citations
  16. Assessing Student's Dynamic Knowledge State by Exploring the Question Difficulty Effect ↗Shuanghong Shen, Zhenya Huang, Qi Liu et al.110 citations
  17. Learning to Denoise Unreliable Interactions for Graph Collaborative Filtering ↗Changxin Tian, Yuexiang Xie, Yaliang Li et al.107 citations
  18. InPars: Unsupervised Dataset Generation for Information Retrieval ↗Luiz Bonifacio, Hugo Abonizio, Marzieh Fadaee et al.104 citations
  19. BARS ↗Jieming Zhu, Quanyu Dai, Liangcai Su et al.99 citations
  20. Multi-Behavior Sequential Transformer Recommender ↗Enming Yuan, Wei Guo, Zhicheng He et al.98 citations
  21. Generalizing to the Future ↗Yongchun Zhu, Qiang Sheng, Juan Cao et al.97 citations
  22. Learning Graph-based Disentangled Representations for Next POI Recommendation ↗Zhaobo Wang, Yanmin Zhu, Haobing Liu et al.90 citations
  23. Hierarchical Multi-Task Graph Recurrent Network for Next POI Recommendation ↗Nicholas Lim, Bryan Hooi, See-Kiong Ng et al.87 citations
  24. ESCM2 ↗Hao Wang, Tai-Wei Chang, Tianqiao Liu et al.85 citations
  25. Tag-assisted Multimodal Sentiment Analysis under Uncertain Missing Modalities ↗Jiandian Zeng, Tianyi Liu, Jiantao Zhou85 citations

See all 444 papers in SIGIR 2022 — accepted papers →

 Papers with our summary in our library (1)

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

  1. Modern Baselines for SPARQL Semantic ParsingInternational ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)Debayan Banerjee, Pranav Ajit Nair, Jivat Neet Kaur, et al.2022 · 48 citations

 Top topics

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

Knowledge graphs & ontologies (1)Semantic parsing & meaning representation (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.

🧑‍🔬Chris Biemann1 work here · 48 citations🧑‍🔬Ricardo Usbeck1 work here · 48 citations

 Top institutions

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

🎓Universität HamburgHamburg · Germany1 work here🏢Microsoft ResearchBengaluru · India1 work here🎓Indian Institute of Technology BHUVaranasi · India1 work here🎓Banaras Hindu UniversityVaranasi · India1 work here

works and citations from OpenAlex and our library.

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