KDDDatabases / Data Mining / Information Retrieval
ACM SIGKDD Conference on Knowledge Discovery and Data Mining
2,770Papers indexed
2020-2026Years covered
Recent papers
- GS-Fuse: Granger-Supervised Gated Fusion and Multi-Granularity Alignment for Event-Driven Financial ForecastingYang Zhang, En Chun, Ziyun Mao, Yulu Wu et al.2026
- A Black Box Optimization-based Bidding Strategy for Data Consumers in Auction-based Federated LearningXiaoli Tang, Haoran Shi, Han Yu, Jie Zhang et al.2026
- A Data-Centric Decomposition of Estimator Performance in Continuous Treatment Effect EstimationChristopher Bockel-Rickermann, Daan Caljon, Toon Vanderschueren, Tim Verdonck et al.2026 · 2 citations
- A Geometric Information Bottleneck for Activation SteeringToan Doan, Thin Nguyen, Sunil Gupta2026
- A Masked Mixture Model for Compact and Accurate Matrix FactorizationYong-chan Park, Jeongyoung Lee, SeungJoo Lee, U. Kang2026
- A More Accurate Algorithm Comparison through A/B Testing using Offline Evaluation MethodsKoki Konishi, Masataka Ushiku, Yuta Saito2026 · 1 citation
- A Non-parametric Multi-view Model for Short Text ClusteringEnhao Cheng, Xiaolong Zheng, Jintong Li, Juncheng Hou et al.2026
- A Perturbation-Augmented Unsupervised Learning Framework for Integer Linear ProgrammingYufan Deng, Tianle Pu, Zhijing Hu, Zijie Geng et al.2026
- A Physics-Aware Framework for Short-Term GPU Power Forecasting of AI Data CentersMohammad AlShaikh Saleh, Sanjay Chawla, Sertac Bayhan, Haitham Abu-Rub et al.2026
- A Practical Upper Bound on Selection Bias Effects in Medical Prediction ModelsKara Liu, Maggie Wang, Russ B. Altman2026
- A Product Manifold Method for Feature SelectionMao Li, Zhilong Mi, Yingpeng Du, Yifan Cao et al.2026
- A Progressive Visual-Logic-Aligned Framework for Ride-Hailing AdjudicationWeiming Wu, Zi-Jian Cheng, Jie Meng, Peng Zhen et al.2026
- A Serial Two-Stage Framework for Robust Multimodal Fake News Detection via Adaptive ReasoningMaolin Wang, Ziting Mai, Zichun Liu, Beining Bao et al.2026
- A Unified Model for Personalization: Language-Steerable Generative Recommendation, Search, and User UnderstandingMarco De Nadai, Edoardo D'Amico, Max Lefarov, Alexandre Tamborrino et al.2026
- AbFlow: End-to-end Paratope-Centric Antibody Design by Interaction Enhanced Flow MatchingWenda Wang, Yang Zhang, Zhewei Wei, Wenbing Huang2026
- ABLE: Using Adversarial Pairs to Construct Local Models for Explaining Model PredictionsKrishna Khadka, Sunny Shree, Pujan Budhathoki, Yu Lei et al.2026
- AbstainGNN: Teaching Graph Neural Networks to Abstain for Graph ClassificationXixun Lin, Zhiheng Zhou, Zhengyin Zhang, Yancheng Chen et al.2026
- Accelerated Coordinate Descent for Directed Densest Subgraph DiscoveryLuocheng Liang, Yingli Zhou, Yixiang Fang2026
- Accelerating Graph-Based RAG Retrieval via Locality-Aware Device-Cloud CollaborationYongheng Deng, Tianyuan Jiang, Zhenya Ma, Hao Wu et al.2026
- Accelerating Influence Function Estimation for Large Language Models: A Practical DesignMengyi Yan, Yaoshu Wang, Guangyi Zhang, Kehan Pang et al.2026
- Accelerating Storage-based Training for Graph Neural NetworksMyung-Hwan Jang, Jeong-Min Park, Yunyong Ko, Sang-Wook Kim2026
- ActivationBackdoor: Backdooring Large Language Models in Collaborative Inference via Intermediate ActivationsZichun Su, Mi Zhang, Xiaohan Zhang, Geng Hong et al.2026
- AdaKoop: Efficient Modeling of Nonlinear Dynamics from Nonstationary Data Streams with Koopman Operator RegressionNaoki Chihara, Ren Fujiwara, Yasuko Matsubara, Yasushi Sakurai2026
- Adaptive Exploration for Latent-State BanditsJikai Jin, Kenneth Hung, Sanath Kumar Krishnamurthy, Baoyi Shi et al.2026
