ACM International Conference on Knowledge Discovery and Data Mining

KDD

CORE rank

CORE rank (raw)

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 conferences Best 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.

Year	Title	Authors
2023	End-to-End Query Term Weighting.	Karan Samel, Cheng Li, Weize Kong, Tao Chen, Mingyang Zhang, Shaleen Kumar Gupta, Swaraj Khadanga, Wensong Xu, Xingyu Wang, Kashyap Kolipaka, Michael Bendersky, Marc Najork
2023	un-xPass: Measuring Soccer Player's Creativity.	Pieter Robberechts, Maaike Van Roy, Jesse Davis
2023	FedPseudo: Privacy-Preserving Pseudo Value-Based Deep Learning Models for Federated Survival Analysis.	Md. Mahmudur Rahman, Sanjay Purushotham
2023	Reconstructing Graph Diffusion History from a Single Snapshot.	Ruizhong Qiu, Dingsu Wang, Lei Ying, H. Vincent Poor, Yifang Zhang, Hanghang Tong
2023	3D-IDS: Doubly Disentangled Dynamic Intrusion Detection.	Chenyang Qiu, Yingsheng Geng, Junrui Lu, Kaida Chen, Shitong Zhu, Ya Su, Guoshun Nan, Can Zhang, Junsong Fu, Qimei Cui, Xiaofeng Tao
2023	Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks.	Zeyu Qin, Liuyi Yao, Daoyuan Chen, Yaliang Li, Bolin Ding, Minhao Cheng
2023	KDD-2023 Workshop on Decision Intelligence and Analytics for Online Marketplaces.	Zhiwei (Tony) Qin, Rui Song, Jieping Ye, Hongtu Zhu, Michael I. Jordan
2023	FedAPEN: Personalized Cross-silo Federated Learning with Adaptability to Statistical Heterogeneity.	Zhen Qin, Shuiguang Deng, Mingyu Zhao, Xueqiang Yan
2023	Generalizable Low-Resource Activity Recognition with Diverse and Discriminative Representation Learning.	Xin Qin, Jindong Wang, Shuo Ma, Wang Lu, Yongchun Zhu, Xing Xie, Yiqiang Chen
2023	Graph Neural Bandits.	Yunzhe Qi, Yikun Ban, Jingrui He
2023	Towards Understanding and Enhancing Robustness of Deep Learning Models against Malicious Unlearning Attacks.	Wei Qian, Chenxu Zhao, Wei Le, Meiyi Ma, Mengdi Huai
2023	The 9th SIGKDD International Workshop on Mining and Learning from Time Series.	Sanjay Purushotham, Dongjin Song, Qingsong Wen, Jun Huan, Cong Shen, Yuriy Nevmyvaka
2023	Precision Health in the Age of Large Language Models.	Hoifung Poon, Tristan Naumann, Sheng Zhang, Javier Gonzlez Hernndez
2023	How to DP-fy ML: A Practical Tutorial to Machine Learning with Differential Privacy.	Natalia Ponomareva, Sergei Vassilvitskii, Zheng Xu, Brendan McMahan, Alexey Kurakin, Chiyaun Zhang
2023	Deep Pipeline Embeddings for AutoML.	Sebastian Pineda-Arango, Josif Grabocka
2023	Graph Neural Networks in TensorFlow.	Bryan Perozzi, Sami Abu-El-Haija, Anton Tsitsulin
2023	Learning from Positive and Unlabeled Multi-Instance Bags in Anomaly Detection.	Lorenzo Perini, Vincent Vercruyssen, Jesse Davis
2023	Entity-aware Multi-task Learning for Query Understanding at Walmart.	Zhiyuan Peng, Vachik S. Dave, Nicole McNabb, Rahul Sharnagat, Alessandro Magnani, Ciya Liao, Yi Fang, Sravanthi Rajanala
2023	Efficient Centrality Maximization with Rademacher Averages.	Leonardo Pellegrina
2023	Few-shot Low-resource Knowledge Graph Completion with Multi-view Task Representation Generation.	Shichao Pei, Ziyi Kou, Qiannan Zhang, Xiangliang Zhang
2023	Extreme Multi-Label Classification for Ad Targeting using Factorization Machines.	Martin Pavlovski, Srinath Ravindran, Djordje Gligorijevic, Shubham Agrawal, Ivan Stojkovic, Nelson Segura-Nunez, Jelena Gligorijevic
2023	Criteria Tell You More than Ratings: Criteria Preference-Aware Light Graph Convolution for Effective Multi-Criteria Recommendation.	Jin-Duk Park, Siqing Li, Xin Cao, Won-Yong Shin
2023	Domain-Guided Spatio-Temporal Self-Attention for Egocentric 3D Pose Estimation.	Jinman Park, Kimathi Kaai, Saad Hossain, Norikatsu Sumi, Sirisha Rambhatla, Paul W. Fieguth
2023	Deep Weakly-supervised Anomaly Detection.	Guansong Pang, Chunhua Shen, Huidong Jin, Anton van den Hengel
2023	Rewiring Police Officer Training Networks to Reduce Forecasted Use of Force.	Ritika Pandey, Jeremy G. Carter, James H. Hill, George O. Mohler

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Comparable venues

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