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ACM International Conference on Knowledge Discovery and Data Mining

KDD

A*

CORE rank

CORE rank (raw)

A*

Acceptance rate

20.0% (2024 research track)

Fields of research

Data Management and Data Science · Machine Learning

Papers indexed

8,232

1994–2026

Papers per year

1994844 peak2026

KDD papers

8,232 records sourced from DBLP. Search titles, filter by year, sort by recency.

YearTitleAuthors
2023From Human Days to Machine Seconds: Automatically Answering and Generating Machine Learning Final Exams.Iddo Drori, Sarah J. Zhang, Reece Shuttleworth, Sarah Zhang, Keith Tyser, Zad Chin, Pedro Lantigua, Saisamrit Surbehera, Gregory Hunter, Derek Austin, Leonard Tang, Yann Hicke, Sage Simhon, Sathwik Karnik, Darnell Granberry, Madeleine Udell
2023Towards Next-Generation Intelligent Assistants Leveraging LLM Techniques.Xin Luna Dong, Seungwhan Moon, Yifan Ethan Xu, Kshitiz Malik, Zhou Yu
2023Fairness in Graph Machine Learning: Recent Advances and Future Prospectives.Yushun Dong, Oyku Deniz Kose, Yanning Shen, Jundong Li
2023Investigating Trojan Attacks on Pre-trained Language Model-powered Database Middleware.Peiran Dong, Song Guo, Junxiao Wang
2023MetricPrompt: Prompting Model as a Relevance Metric for Few-shot Text Classification.Hongyuan Dong, Weinan Zhang, Wanxiang Che
2023Variance Reduction Using In-Experiment Data: Efficient and Targeted Online Measurement for Sparse and Delayed Outcomes.Alex Deng, Michelle Du, Anna Matlin, Qing Zhang
2023Accelerating Dynamic Network Embedding with Billions of Parameter Updates to Milliseconds.Haoran Deng, Yang Yang, Jiahe Li, Haoyang Cai, Shiliang Pu, Weihao Jiang
2023Modelling Delayed Redemption with Importance Sampling and Pre-Redemption Engagement.Samik Datta, Anshuman Mourya, Anirban Majumder, Vineet Chaoji
2023TWIN: Personalized Clinical Trial Digital Twin Generation.Trisha Das, Zifeng Wang, Jimeng Sun
2023Generalized Matrix Local Low Rank Representation by Random Projection and Submatrix Propagation.Pengtao Dang, Haiqi Zhu, Tingbo Guo, Changlin Wan, Tong Zhao, Paul Salama, Yijie Wang, Sha Cao, Chi Zhang
2023Conditional Neural ODE Processes for Individual Disease Progression Forecasting: A Case Study on COVID-19.Ting Dang, Jing Han, Tong Xia, Erika Bondareva, Chlo Siegele-Brown, Jagmohan Chauhan, Andreas Grammenos, Dimitris Spathis, Pietro Cicuta, Cecilia Mascolo
2023Contrastive Learning for User Sequence Representation in Personalized Product Search.Shitong Dai, Jiongnan Liu, Zhicheng Dou, Haonan Wang, Lin Liu, Bo Long, Ji-Rong Wen
2023A Unified Framework of Graph Information Bottleneck for Robustness and Membership Privacy.Enyan Dai, Limeng Cui, Zhengyang Wang, Xianfeng Tang, Yinghan Wang, Monica Xiao Cheng, Bing Yin, Suhang Wang
2023Deep Encoders with Auxiliary Parameters for Extreme Classification.Kunal Dahiya, Sachin Yadav, Sushant Sondhi, Deepak Saini, Sonu Mehta, Jian Jiao, Sumeet Agarwal, Purushottam Kar, Manik Varma
2023Below the Surface: Summarizing Event Sequences with Generalized Sequential Patterns.Joscha Cppers, Jilles Vreeken
2023MGNN: Graph Neural Networks Inspired by Distance Geometry Problem.Guanyu Cui, Zhewei Wei
20233rd Workshop on Online and Adaptive Recommender Systems (OARS).Xiquan Cui, Vachik S. Dave, Yi Su, Khalifeh Al Jadda, Srijan Kumar, Julian J. McAuley, Tao Ye, Stephen D. Guo, Chip Huyen
2023Reducing Exposure to Harmful Content via Graph Rewiring.Corinna Coupette, Stefan Neumann, Aristides Gionis
2023Representation Learning on Hyper-Relational and Numeric Knowledge Graphs with Transformers.Chanyoung Chung, Jaejun Lee, Joyce Jiyoung Whang
2023CT4Rec: Simple yet Effective Consistency Training for Sequential Recommendation.Chong Liu, Xiaoyang Liu, Rongqin Zheng, Lixin Zhang, Xiaobo Liang, Juntao Li, Lijun Wu, Min Zhang, Leyu Lin
2023Classification of Edge-dependent Labels of Nodes in Hypergraphs.Minyoung Choe, Sunwoo Kim, Jaemin Yoo, Kijung Shin
2023Shilling Black-box Review-based Recommender Systems through Fake Review Generation.Hung-Yun Chiang, Yi-Syuan Chen, Yun-Zhu Song, Hong-Han Shuai, Jason S. Chang
2023Web-Scale Academic Name Disambiguation: The WhoIsWho Benchmark, Leaderboard, and Toolkit.Bo Chen, Jing Zhang, Fanjin Zhang, Tianyi Han, Yuqing Cheng, Xiaoyan Li, Yuxiao Dong, Jie Tang
2023Open-Set Semi-Supervised Text Classification with Latent Outlier Softening.Junfan Chen, Richong Zhang, Junchi Chen, Chunming Hu, Yongyi Mao
2023On Hierarchical Disentanglement of Interactive Behaviors for Multimodal Spatiotemporal Data with Incompleteness.Jiayi Chen, Aidong Zhang
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Comparable venues

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