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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

Best Machine Learning conferencesBest Data Science and Information Retrieval conferences

Papers per year

1994844 peak2026

Most published authors

KDD papers

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

YearTitleAuthors
2024SEFraud: Graph-based Self-Explainable Fraud Detection via Interpretative Mask Learning.Kaidi Li, Tianmeng Yang, Min Zhou, Jiahao Meng, Shendi Wang, Yihui Wu, Boshuai Tan, Hu Song, Lujia Pan, Fan Yu, Zhenli Sheng, Yunhai Tong
2024UrbanGPT: Spatio-Temporal Large Language Models.Zhonghang Li, Lianghao Xia, Jiabin Tang, Yong Xu, Lei Shi, Long Xia, Dawei Yin, Chao Huang
2024Predicting Long-term Dynamics of Complex Networks via Identifying Skeleton in Hyperbolic Space.Ruikun Li, Huandong Wang, Jinghua Piao, Qingmin Liao, Yong Li
2024Physics-informed Neural ODE for Post-disaster Mobility Recovery.Jiahao Li, Huandong Wang, Xinlei Chen
2024Graph Data Condensation via Self-expressive Graph Structure Reconstruction.Zhanyu Liu, Chaolv Zeng, Guanjie Zheng
2024Fast Query of Biharmonic Distance in Networks.Changan Liu, Ahad N. Zehmakan, Zhongzhi Zhang
2024Multimodal Pretraining, Adaptation, and Generation for Recommendation: A Survey.Qijiong Liu, Jieming Zhu, Yanting Yang, Quanyu Dai, Zhaocheng Du, Xiao-Ming Wu, Zhou Zhao, Rui Zhang, Zhenhua Dong
2024EmoLLMs: A Series of Emotional Large Language Models and Annotation Tools for Comprehensive Affective Analysis.Zhiwei Liu, Kailai Yang, Qianqian Xie, Tianlin Zhang, Sophia Ananiadou
2024Towards Automatic Evaluation for LLMs' Clinical Capabilities: Metric, Data, and Algorithm.Lei Liu, Xiaoyan Yang, Fangzhou Li, Chenfei Chi, Yue Shen, Shiwei Lyu, Ming Zhang, Xiaowei Ma, Xiangguo Lv, Liya Ma, Zhiqiang Zhang, Wei Xue, Yiran Huang, Jinjie Gu
2024DAG: Deep Adaptive and GenerativeChang Liu, Yuwen Yang, Yue Ding, Hongtao Lu, Wenqing Lin, Ziming Wu, Wendong Bi
2024Generative Pretrained Hierarchical Transformer for Time Series Forecasting.Zhiding Liu, Jiqian Yang, Mingyue Cheng, Yucong Luo, Zhi Li
2024Asymmetric Beta Loss for Evidence-Based Safe Semi-Supervised Multi-Label Learning.Hao-Zhe Liu, Ming-Kun Xie, Chen-Chen Zong, Sheng-Jun Huang
2024Probabilistic Attention for Sequential Recommendation.Yuli Liu, Christian Walder, Lexing Xie, Yiqun Liu
2024GRAM: Generative Retrieval Augmented Matching of Data Schemas in the Context of Data Security.Xuanqing Liu, Runhui Wang, Yang Song, Luyang Kong
2024Beyond Binary Preference: Leveraging Bayesian Approaches for Joint Optimization of Ranking and Calibration.Chang Liu, Qiwei Wang, Wenqing Lin, Yue Ding, Hongtao Lu
2024An Unsupervised Learning Framework Combined with Heuristics for the Maximum Minimal Cut Problem.Huaiyuan Liu, Xianzhang Liu, Donghua Yang, Hongzhi Wang, Yingchi Long, Mengtong Ji, Dongjing Miao, Zhiyu Liang
2024Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective.Yunfei Liu, Jintang Li, Yuehe Chen, Ruofan Wu, Ericbk Wang, Jing Zhou, Sheng Tian, Shuheng Shen, Xing Fu, Changhua Meng, Weiqiang Wang, Liang Chen
2024Dataset Condensation for Time Series Classification via Dual Domain Matching.Zhanyu Liu, Ke Hao, Guanjie Zheng, Yanwei Yu
2024ACER: Accelerating Complex Event Recognition via Two-Phase Filtering under Range Bitmap-Based Indexes.Shizhe Liu, Haipeng Dai, Shaoxu Song, Meng Li, Jingsong Dai, Rong Gu, Guihai Chen
2024TDNetGen: Empowering Complex Network Resilience Prediction with Generative Augmentation of Topology and Dynamics.Chang Liu, Jingtao Ding, Yiwen Song, Yong Li
2024MFTCoder: Boosting Code LLMs with Multitask Fine-Tuning.Bingchang Liu, Chaoyu Chen, Zi Gong, Cong Liao, Huan Wang, Zhichao Lei, Ming Liang, Dajun Chen, Min Shen, Hailian Zhou, Wei Jiang, Hang Yu, Jianguo Li
2024CASA: Clustered Federated Learning with Asynchronous Clients.Boyi Liu, Yiming Ma, Zimu Zhou, Yexuan Shi, Shuyuan Li, Yongxin Tong
2024Modeling User Retention through Generative Flow Networks.Ziru Liu, Shuchang Liu, Bin Yang, Zhenghai Xue, Qingpeng Cai, Xiangyu Zhao, Zijian Zhang, Lantao Hu, Han Li, Peng Jiang
2024Scalable Multitask Learning Using Gradient-based Estimation of Task Affinity.Dongyue Li, Aneesh Sharma, Hongyang R. Zhang
2024Contextual Distillation Model for Diversified Recommendation.Fan Li, Xu Si, Shisong Tang, Dingmin Wang, Kunyan Han, Bing Han, Guorui Zhou, Yang Song, Hechang Chen
1,426–1,450 of 8,232← PreviousNext →

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