IEEE International Conference on Data Mining

ICDM

CORE rank

CORE rank (raw)

Fields of research

Data Management and Data Science · Machine Learning

Papers indexed

7,201

2001–2025

Best Machine Learning conferences Best Data Science and Information Retrieval conferences

Papers per year

2001612 peak2025

Most published authors

ICDM papers

7,201 records sourced from DBLP. Search titles, filter by year, sort by recency.

Year	Title	Authors
2021	Federated Principal Component Analysis for Genome-Wide Association Studies.	Anne Hartebrodt, Reza Nasirigerdeh, David B. Blumenthal, Richard Rttger
2021	LAGA: Lagged AllReduce with Gradient Accumulation for Minimal Idle Time.	Ido Hakimi, Rotem Zamir Aviv, Kfir Y. Levy, Assaf Schuster
2021	Continual Learning for Multivariate Time Series Tasks with Variable Input Dimensions.	Vibhor Gupta, Jyoti Narwariya, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff
2021	PaGAN: Generative Adversarial Network for Patent understanding.	Guillaume Guarino, Ahmed Samet, Amir Nafi, Denis Cavallucci
2021	Recurrent Neural Networks Meet Context-Free Grammar: Two Birds with One Stone.	Hui Guan, Umana Chaudhary, Yuanchao Xu, Lin Ning, Lijun Zhang, Xipeng Shen
2021	Graph Transfer Learning.	Andrey Gritsenko, Yuan Guo, Kimia Shayestehfard, Armin Moharrer, Jennifer G. Dy, Stratis Ioannidis
2021	Attacking Similarity-Based Sign Prediction.	Michal Tomasz Godziszewski, Tomasz P. Michalak, Marcin Waniek, Talal Rahwan, Kai Zhou, Yulin Zhu
2021	Heterogeneous Graph Neural Architecture Search.	Yang Gao, Peng Zhang, Zhao Li, Chuan Zhou, Yongchao Liu, Yue Hu
2021	Dictionary Pair-based Data-Free Fast Deep Neural Network Compression.	Yangcheng Gao, Zhao Zhang, Haijun Zhang, Mingbo Zhao, Yi Yang, Meng Wang
2021	GNES: Learning to Explain Graph Neural Networks.	Yuyang Gao, Tong Steven Sun, Rishab Bhatt, Dazhou Yu, Sungsoo Ray Hong, Liang Zhao
2021	ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network.	Xingcheng Fu, Jianxin Li, Jia Wu, Qingyun Sun, Cheng Ji, Senzhang Wang, Jiajun Tan, Hao Peng, Philip S. Yu
2021	GCN-SE: Attention as Explainability for Node Classification in Dynamic Graphs.	Yucai Fan, Yuhang Yao, Carlee Joe-Wong
2021	Fair Graph Auto-Encoder for Unbiased Graph Representations with Wasserstein Distance.	Wei Fan, Kunpeng Liu, Rui Xie, Hao Liu, Hui Xiong, Yanjie Fu
2021	MetaGB: A Gradient Boosting Framework for Efficient Task Adaptive Meta Learning.	Manqing Dong, Lina Yao, Xianzhi Wang, Xiwei Xu, Liming Zhu
2021	Gain-Some-Lose-Some: Reliable Quantification Under General Dataset Shift.	Benjamin Denham, Edmund M.-K. Lai, Roopak Sinha, Muhammad Asif Naeem
2021	Temporal Multi-view Graph Convolutional Networks for Citywide Traffic Volume Inference.	Shaojie Dai, Jinshuai Wang, Chao Huang, Yanwei Yu, Junyu Dong
2021	Promoting Fairness through Hyperparameter Optimization.	Andr Ferreira Cruz, Pedro Saleiro, Catarina G. Belm, Carlos Soares, Pedro Bizarro
2021	Hypergraph Ego-networks and Their Temporal Evolution.	Cazamere Comrie, Jon M. Kleinberg
2021	TRIO: Task-agnostic dataset representation optimized for automatic algorithm selection.	Noy Cohen-Shapira, Lior Rokach
2021	Topic-Noise Models: Modeling Topic and Noise Distributions in Social Media Post Collections.	Rob Churchill, Lisa Singh
2021	Highly Scalable and Provably Accurate Classification in Poincar Balls.	Eli Chien, Chao Pan, Puoya Tabaghi, Olgica Milenkovic
2021	Self-learn to Explain Siamese Networks Robustly.	Chao Chen, Yifan Shen, Guixiang Ma, Xiangnan Kong, Srinivas Rangarajan, Xi Zhang, Sihong Xie
2021	Improving Deep Forest by Exploiting High-order Interactions.	Yi-He Chen, Shen-Huan Lyu, Yuan Jiang
2021	Learning Transferable User Representations with Sequential Behaviors via Contrastive Pre-training.	Mingyue Cheng, Fajie Yuan, Qi Liu, Xin Xin, Enhong Chen
2021	Differentially Private String Sanitization for Frequency-Based Mining Tasks.	Huiping Chen, Changyu Dong, Liyue Fan, Grigorios Loukides, Solon P. Pissis, Leen Stougie

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