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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
2024Effective Generation of Feasible Solutions for Integer Programming via Guided Diffusion.Hao Zeng, Jiaqi Wang, Avirup Das, Junying He, Kunpeng Han, Haoyuan Hu, Mingfei Sun
2024Personalized Federated Continual Learning via Multi-Granularity Prompt.Hao Yu, Xin Yang, Xin Gao, Yan Kang, Hao Wang, Junbo Zhang, Tianrui Li
2024GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing.Chengqing Yu, Fei Wang, Zezhi Shao, Tangwen Qian, Zhao Zhang, Wei Wei, Yongjun Xu
2024Pre-trained KPI Anomaly Detection Model Through Disentangled Transformer.Zhaoyang Yu, Changhua Pei, Xin Wang, Minghua Ma, Chetan Bansal, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang, Xidao Wen, Jianhui Li, Gaogang Xie, Dan Pei
2024An Offline Meta Black-box Optimization Framework for Adaptive Design of Urban Traffic Light Management Systems.Taeyoung Yun, Kanghoon Lee, Sujin Yun, Ilmyung Kim, Won-Woo Jung, Min-Cheol Kwon, Kyujin Choi, Yoohyeon Lee, Jinkyoo Park
2024Unsupervised Ranking Ensemble Model for Recommendation.Wenhui Yu, Bingqi Liu, Bin Xia, Xiaoxiao Xu, Ying Chen, Yongchang Li, Lantao Hu
2024PolygonGNN: Representation Learning for Polygonal Geometries with Heterogeneous Visibility Graph.Dazhou Yu, Yuntong Hu, Yun Li, Liang Zhao
2024Self-consistent Deep Geometric Learning for Heterogeneous Multi-source Spatial Point Data Prediction.Dazhou Yu, Xiaoyun Gong, Yun Li, Meikang Qiu, Liang Zhao
2024Unified Low-rank Compression Framework for Click-through Rate Prediction.Hao Yu, Minghao Fu, Jiandong Ding, Yusheng Zhou, Jianxin Wu
2024Unveiling Privacy Vulnerabilities: Investigating the Role of Structure in Graph Data.Hanyang Yuan, Jiarong Xu, Cong Wang, Ziqi Yang, Chunping Wang, Keting Yin, Yang Yang
2024DipDNN: Preserving Inverse Consistency and Approximation Efficiency for Invertible Learning.Jingyi Yuan, Yang Weng, Erik Blasch
2024Graph Cross Supervised Learning via Generalized Knowledge.Xiangchi Yuan, Yijun Tian, Chunhui Zhang, Yanfang Ye, Nitesh V. Chawla, Chuxu Zhang
2024RIGL: A Unified Reciprocal Approach for Tracing the Independent and Group Learning Processes.Xiaoshan Yu, Chuan Qin, Dazhong Shen, Shangshang Yang, Haiping Ma, Hengshu Zhu, Xingyi Zhang
2024BoKA: Bayesian Optimization based Knowledge Amalgamation for Multi-unknown-domain Text Classification.Linzhu Yu, Huan Li, Ke Chen, Lidan Shou
2024Top-Down Bayesian Posterior Sampling for Sum-Product Networks.Soma Yokoi, Issei Sato
2024Dataset Regeneration for Sequential Recommendation.Mingjia Yin, Hao Wang, Wei Guo, Yong Liu, Suojuan Zhang, Sirui Zhao, Defu Lian, Enhong Chen
2024Unsupervised Generative Feature Transformation via Graph Contrastive Pre-training and Multi-objective Fine-tuning.Wangyang Ying, Dongjie Wang, Xuanming Hu, Yuanchun Zhou, Charu C. Aggarwal, Yanjie Fu
2024SepsisLab: Early Sepsis Prediction with Uncertainty Quantification and Active Sensing.Changchang Yin, Pin-Yu Chen, Bingsheng Yao, Dakuo Wang, Jeffrey M. Caterino, Ping Zhang
2024Using Self-supervised Learning Can Improve Model Fairness.Sofia Yfantidou, Dimitris Spathis, Marios Constantinides, Athena Vakali, Daniele Quercia, Fahim Kawsar
2024OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning.Rui Ye, Wenhao Wang, Jingyi Chai, Dihan Li, Zexi Li, Yinda Xu, Yaxin Du, Yanfeng Wang, Siheng Chen
2024PAIL: Performance based Adversarial Imitation Learning Engine for Carbon Neutral Optimization.Yuyang Ye, Lu-An Tang, Haoyu Wang, Runlong Yu, Wenchao Yu, Erhu He, Haifeng Chen, Hui Xiong
2024Embedding Two-View Knowledge Graphs with Class Inheritance and Structural Similarity.Kyuhwan Yeom, Hyeongjun Yang, Gayeon Park, Myeongheon Jeon, Yunjeong Ko, Byungkook Oh, Kyong-Ho Lee
2024Efficient and Effective Anchored Densest Subgraph Search: A Convex-programming based Approach.Xiaowei Ye, Rong-Hua Li, Lei Liang, Zhizhen Liu, Longlong Lin, Guoren Wang
2024Enhancing Asymmetric Web Search through Question-Answer Generation and Ranking.Dezhi Ye, Jie Liu, Jiabin Fan, Bowen Tian, Tianhua Zhou, Xiang Chen, Jin Ma
2024RPMixer: Shaking Up Time Series Forecasting with Random Projections for Large Spatial-Temporal Data.Chin-Chia Michael Yeh, Yujie Fan, Xin Dai, Uday Singh Saini, Vivian Lai, Prince Osei Aboagye, Junpeng Wang, Huiyuan Chen, Yan Zheng, Zhongfang Zhuang, Liang Wang, Wei Zhang
1,176–1,200 of 8,232← PreviousNext →

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