ECGGAN: A Framework for Effective and Interpretable Electrocardiogram Anomaly Detection
Huazhang Wang, Zhaojing Luo, James W.L. Yip, Chuyang Ye, Meihui Zhang
KDD 2023 Papers
ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Decision breakdown
496papers
Counted from the official paper list; may differ slightly from the number the conference announced.
- Other / unlabeled496100.0%
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TitleTypeTopic
E-commerce Search via Content Collaborative Graph Neural Network
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DyTed: Disentangled Representation Learning for Discrete-Time Dynamic Graph
Qi Cao, Gaolin Fang, Xu Bingbing, Hongjian Zou, Huawei Shen, Xueqi Cheng
DyGen: Learning from Noisy Labels via Dynamics-Enhanced Generative Modeling
Yuchen Zhuang, Yue Yu, Lingkai Kong, Xiang Chen, Chao Zhang
Dual-view Molecular Pre-training
Jinhua Zhu, Yingce Xia, Lijun Wu, Shufang Xie, Wengang Zhou, Tao Qin, Houqiang Li, Tie-Yan Liu
Doubly Robust AUC Optimization against Noisy and Adversarial Samples
Chenkang Zhang, Wanli Shi, Lei Luo
DoubleAdapt: A Meta-Learning Approach to Incremental Learning for Stock Trend Forecasting
Lifan Zhao, Shuming Kong, Yanyan Shen
DotHash: Estimating Set Similarity Metrics for Link Prediction and Document Deduplication
Igor Nunes, Mike Heddes, Pere Vergés, Danny Abraham, Alex Veidenbaum, Alex Nicolau, Tony Givargis
Domain-Specific Risk Minimization for Domain Generalization
Yi-Fan Zhang, Jian Liang, Zhang Zhang, Baosheng Yu, Liang Wang, Dacheng Tao, Xing Xie
Domain-Guided Spatio-Temporal Self-Attention for Egocentric 3D Pose Estimation
Jinman Park, Kimathi Kaai, Saad Hossain, Norikatsu Sumi, Sirisha Rambhatla, Paul Fieguth
Doctor Specific Tag Recommendation for Online Medical Record Management
Yejing Wang, Shen Ge, Xiangyu Zhao, Xian Wu, Tong Xu, Chen Ma, Zhi Zheng
Discovering Novel Biological Traits from Images using Phylogeny-Guided Neural Networks
Mohannad Elhamod, Mridul Khurana, Harish Babu Manogaran, Josef C. Uyeda, Meghan A. Balk, Wasila Dahdul, Yasin Bakis, Henry L. Bart, Paula M. Mabee, Hilmar Lapp, James P. Balhoff, Caleb Charpentier, David Carlyn, Wei-Lun Chao, Charles V. Stewart, Daniel I. Rubenstein, Tanya Berger-Wolf, Anuj Karpatne
Discovering Dynamic Causal Space for DAG Structure Learning
Fangfu Liu, Wenchang Ma, An Zhang, Xiang Wang, Yueqi Duan, Tat-Seng Chua
DisasterNet: Causal Bayesian Networks with Normalizing Flows for Cascading Hazards Estimation from Satellite Imagery
Xuechun Li, Paula M. Burgi, Wei Ma, Hae Young Noh, David Jay Wald, Susu Xu
Diga: Guided Diffusion Model for Graph Recovery in Anti-Money Laundering
Xujia Li, Yuan Li, Xueying Mo, Hebing Xiao, Yanyan Shen, Lei Chen
Detecting Vulnerable Nodes in Urban Infrastructure Interdependent Network
Jinzhu Mao, Liu Cao, Chen Gao, Huandong Wang, Fan Hangyu, Depeng Jin, Yong Li
Detecting Interference in Online Controlled Experiments with Increasing Allocation
Kevin Han, Shuangning Li, Jialiang Mao, Han Wu
Dependence and Model Selection in LLP: The Problem of Variants
Gabriel Franco, Mark Crovella, Giovanni Comarela
Densest Diverse Subgraphs: How to Plan a Successful Cocktail Party with Diversity
Atsushi Miyauchi, Tianyi Chen, Konstantinos Sotiropoulos, Charalampos E. Tsourakakis
Dense Representation Learning and Retrieval for Tabular Data Prediction
Lei Zheng, Ning Li, Xianyu Chen, Quan Gan, Weinan Zhang