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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.

Most cited papers

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

  1. CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-XQinkai Zheng, Xiao Xia, Xu Zou et al.310 citations · our summary
  2. TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series ForecastingVijay Ekambaram, Arindam Jati, Nam H. Nguyen et al.278 citations
  3. Adaptive Graph Contrastive Learning for RecommendationYangqin Jiang, Chao Huang, Lianghao Huang189 citations
  4. All in One: Multi-Task Prompting for Graph Neural NetworksXiangguo Sun, Hong Cheng, Jia Li et al.173 citations
  5. Knowledge Graph Self-Supervised Rationalization for RecommendationYuhao Yang, Chao Huang, Lianghao Xia et al.173 citations
  6. Deep Weakly-supervised Anomaly DetectionGuansong Pang, Chunhua Shen, Huidong Jin et al.138 citations

All accepted papers (558)

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

  1. CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-XQinkai Zheng, Xiao Xia, Xu Zou et al.310 citations · our summary
  2. TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series ForecastingVijay Ekambaram, Arindam Jati, Nam H. Nguyen et al.278 citations
  3. Adaptive Graph Contrastive Learning for RecommendationYangqin Jiang, Chao Huang, Lianghao Huang189 citations
  4. All in One: Multi-Task Prompting for Graph Neural NetworksXiangguo Sun, Hong Cheng, Jia Li et al.173 citations
  5. Knowledge Graph Self-Supervised Rationalization for RecommendationYuhao Yang, Chao Huang, Lianghao Xia et al.173 citations
  6. Deep Weakly-supervised Anomaly DetectionGuansong Pang, Chunhua Shen, Huidong Jin et al.138 citations
  7. Generative AI meets Responsible AI: Practical Challenges and OpportunitiesKrishnaram Kenthapadi, Himabindu Lakkaraju, Nazneen Fatema Rajani94 citations
  8. FedMultimodal: A Benchmark for Multimodal Federated LearningTiantian Feng, Digbalay Bose, Tuo Zhang et al.86 citations
  9. Towards Next-Generation Intelligent Assistants Leveraging LLM TechniquesXin Luna Dong, Seungwhan Moon, Yifan Ethan Xu et al.72 citations
  10. Robust Multimodal Failure Detection for Microservice SystemsChenyu Zhao, Minghua Ma, Zhenyu Zhong et al.69 citations
  11. ShapleyFL: Robust Federated Learning Based on Shapley ValueQiheng Sun, Xiang Li, Jiayao Zhang et al.67 citations
  12. WinGNN: Dynamic Graph Neural Networks with Random Gradient Aggregation WindowYifan Zhu, Fangpeng Cong, Dan Zhang et al.67 citations
  13. Learning Behavior-oriented Knowledge TracingBihan Xu, Zhenya Huang, Jiayu Liu et al.62 citations

See all 558 papers in KDD 2023 — accepted papers →

 Papers with our summary in our library (2)

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

 Top topics

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

Question answering (1)Multilingual & cross-lingual NLP (1)Code & programming languages (1)Information retrieval & search (1)

 Fields

Arts and Humanities (2)Computer Science (2)

 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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