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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
2023Semantic Dissimilarity Guided Locality Preserving Projections for Partial Label Dimensionality Reduction.Yuheng Jia, Jiahao Jiang, Yongheng Wang
2023GetPt: Graph-enhanced General Table Pre-training with Alternate Attention Network.Ran Jia, Haoming Guo, Xiaoyuan Jin, Chao Yan, Lun Du, Xiaojun Ma, Tamara Stankovic, Marko Lozajic, Goran Zoranovic, Igor Ilic, Shi Han, Dongmei Zhang
2023Precursor-of-Anomaly Detection for Irregular Time Series.Sheo Yon Jhin, Jaehoon Lee, Noseong Park
2023Off-Policy Learning-to-Bid with AuctionGym.Olivier Jeunen, Sean Murphy, Ben Allison
2023Hierarchical Proxy Modeling for Improved HPO in Time Series Forecasting.Arindam Jati, Vijay Ekambaram, Shaonli Pal, Brian Quanz, Wesley M. Gifford, Pavithra Harsha, Stuart Siegel, Sumanta Mukherjee, Chandra Narayanaswami
2023Fast and Accurate Dual-Way Streaming PARAFAC2 for Irregular Tensors - Algorithm and Application.Jun-Gi Jang, Jeongyoung Lee, Yong-chan Park, U Kang
2023SentiGOLD: A Large Bangla Gold Standard Multi-Domain Sentiment Analysis Dataset and Its Evaluation.Md. Ekramul Islam, Labib Chowdhury, Faisal Ahamed Khan, Shazzad Hossain, Md. Sourave Hossain, Mohammad Mamun Or Rashid, Nabeel Mohammed, Mohammad Ruhul Amin
2023Similarity Preserving Adversarial Graph Contrastive Learning.Yeonjun In, Kanghoon Yoon, Chanyoung Park
2023Parameter-free Spikelet: Discovering Different Length and Warped Time Series Motifs using an Adaptive Time Series Representation.Makoto Imamura, Takaaki Nakamura
2023Generative Perturbation Analysis for Probabilistic Black-Box Anomaly Attribution.Tsuyoshi Id, Naoki Abe
2023COMET: Learning Cardinality Constrained Mixture of Experts with Trees and Local Search.Shibal Ibrahim, Wenyu Chen, Hussein Hazimeh, Natalia Ponomareva, Zhe Zhao, Rahul Mazumder
2023Sequential Learning Algorithms for Contextual Model-Free Influence Maximization.Alexandra Iacob, Bogdan Cautis, Silviu Maniu
2023Leveraging Relational Graph Neural Network for Transductive Model Ensemble.Zhengyu Hu, Jieyu Zhang, Haonan Wang, Siwei Liu, Shangsong Liang
2023ST-iFGSM: Enhancing Robustness of Human Mobility Signature Identification Model via Spatial-Temporal Iterative FGSM.Mingzhi Hu, Xin Zhang, Yanhua Li, Xun Zhou, Jun Luo
2023The Information Pathways Hypothesis: Transformers are Dynamic Self-Ensembles.Md. Shamim Hussain, Mohammed J. Zaki, Dharmashankar Subramanian
2023Graph Learning in Physical-informed Mesh-reduced Space for Real-world Dynamic Systems.Yeping Hu, Bo Lei, Victor M. Castillo
2023Large-scale Urban Cellular Traffic Generation via Knowledge-Enhanced GANs with Multi-Periodic Patterns.Shuodi Hui, Huandong Wang, Tong Li, Xinghao Yang, Xing Wang, Junlan Feng, Lin Zhu, Chao Deng, Pan Hui, Depeng Jin, Yong Li
2023Expert Knowledge-Aware Image Difference Graph Representation Learning for Difference-Aware Medical Visual Question Answering.Xinyue Hu, Lin Gu, Qiyuan An, Mengliang Zhang, Liangchen Liu, Kazuma Kobayashi, Tatsuya Harada, Ronald M. Summers, Yingying Zhu
2023BOSS: A Bilateral Occupational-Suitability-Aware Recommender System for Online Recruitment.Xiao Hu, Yuan Cheng, Zhi Zheng, Yue Wang, Xinxin Chi, Hengshu Zhu
2023SAMD: An Industrial Framework for Heterogeneous Multi-Scenario Recommendation.Zhaoxin Huan, Ang Li, Xiaolu Zhang, Xu Min, Jieyu Yang, Yong He, Jun Zhou
2023Learning Discrete Document Representations in Web Search.Rong Huang, Danfeng Zhang, Weixue Lu, Han Li, Meng Wang, Daiting Shi, Jun Fan, Zhicong Cheng, Simiu Gu, Dawei Yin
2023One for All: Unified Workload Prediction for Dynamic Multi-tenant Edge Cloud Platforms.Shaoyuan Huang, Zheng Wang, Heng Zhang, Xiaofei Wang, Cheng Zhang, Wenyu Wang
2023International Workshop on Federated Learning for Distributed Data Mining.Junyuan Hong, Zhuangdi Zhu, Lingjuan Lyu, Yang Zhou, Vishnu Naresh Boddeti, Jiayu Zhou
2023Unbiased Locally Private Estimator for Polynomials of Laplacian Variables.Quentin Hillebrand, Vorapong Suppakitpaisarn, Tetsuo Shibuya
2023CLUR: Uncertainty Estimation for Few-Shot Text Classification with Contrastive Learning.Jianfeng He, Xuchao Zhang, Shuo Lei, Abdulaziz Alhamadani, Fanglan Chen, Bei Xiao, Chang-Tien Lu
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