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KDD 2024 — accepted papers

KDD 2024 is the 2024 edition of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD). OpenAlex lists 642 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. A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language ModelsWenqi Fan, Yujuan Ding, Liangbo Ning et al.795 citations · our summary
  2. Foundation Models for Time Series Analysis: A Tutorial and Survey ↗Yuxuan Liang, Haomin Wen, Yuqi Nie et al.225 citations
  3. UrbanGPT: Spatio-Temporal Large Language Models ↗Zhonghang Li, Lianghao Xia, Jiabin Tang et al.173 citations
  4. A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys) ↗Yashar Deldjoo, Zhankui He, Julian McAuley et al.118 citations
  5. Fredformer: Frequency Debiased Transformer for Time Series Forecasting ↗Xihao Piao, Zheng Chen, Taichi Murayama et al.114 citations

All accepted papers (642)

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

  1. A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language ModelsWenqi Fan, Yujuan Ding, Liangbo Ning et al.795 citations · our summary
  2. Foundation Models for Time Series Analysis: A Tutorial and Survey ↗Yuxuan Liang, Haomin Wen, Yuqi Nie et al.225 citations
  3. UrbanGPT: Spatio-Temporal Large Language Models ↗Zhonghang Li, Lianghao Xia, Jiabin Tang et al.173 citations
  4. A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys) ↗Yashar Deldjoo, Zhankui He, Julian McAuley et al.118 citations
  5. Fredformer: Frequency Debiased Transformer for Time Series Forecasting ↗Xihao Piao, Zheng Chen, Taichi Murayama et al.114 citations
  6. FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model ↗Feijie Wu, Zitao Li, Yaliang Li et al.78 citations
  7. A Survey of Large Language Models for Graphs ↗Xubin Ren, Jiabin Tang, Dawei Yin et al.72 citations
  8. TnT-LLM: Text Mining at Scale with Large Language Models ↗Mengting Wan, Tara Safavi, Sujay Kumar Jauhar et al.71 citations
  9. A Review of Graph Neural Networks in Epidemic Modeling ↗Zewen Liu, Guancheng Wan, B. Aditya Prakash et al.67 citations
  10. A Survey on Hypergraph Neural Networks: An In-Depth and Step-By-Step Guide ↗Sunwoo Kim, Soo Yong Lee, Yue Gao et al.60 citations
  11. FNSPID: A Comprehensive Financial News Dataset in Time Series ↗Zihan Dong, Fan Xinyu, Zhiyuan Peng60 citations
  12. Multimodal Pretraining, Adaptation, and Generation for Recommendation: A Survey ↗Qijiong Liu, Jieming Zhu, Yanting Yang et al.60 citations
  13. LogParser-LLM: Advancing Efficient Log Parsing with Large Language Models ↗Aoxiao Zhong, Dengyao Mo, Guiyang Liu et al.59 citations

See all 642 papers in KDD 2024 — accepted papers →

 Papers with our summary in our library (1)

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

  1. A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language ModelsACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)Wenqi Fan; Yujuan Ding; Liangbo Ning; Shijie Wang; Hengyun Li; Dawei Yin; Tat-Seng Chua;, Qing Li2024 · 1,006 citations

 Top topics

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

Language models & pretraining (1)Information retrieval & search (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.

works and citations from OpenAlex and our library.

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